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doc-exports/docs/modelarts/api-ref/UpdateSamples.html
Lai, Weijian 68e5cd0687 ModelArts API 23.3.0 Version. 
Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com>
Co-authored-by: Lai, Weijian <laiweijian4@huawei.com>
Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>
2024-06-18 11:02:37 +00:00

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<a name="EN-US_TOPIC_0000001909847936"></a><a name="EN-US_TOPIC_0000001909847936"></a>
<h1 class="topictitle1">Updating Sample Labels in Batches</h1>
<div id="body0000001588873445"><div class="section" id="EN-US_TOPIC_0000001909847936__section61703304316"><h4 class="sectiontitle">Function</h4><p id="EN-US_TOPIC_0000001909847936__p3170153023113">This API is used to update sample labels in batches, including adding, modifying, and deleting sample labels. If the parameter <strong id="EN-US_TOPIC_0000001909847936__b19170230123118">Labels</strong> of a sample in the request body is not specified, the label of the sample is deleted.</p>
</div>
<div class="section" id="EN-US_TOPIC_0000001909847936__atuogenerate_1"><h4 class="sectiontitle">Debugging</h4><p id="EN-US_TOPIC_0000001909847936__p0171183013110">You can debug this API through automatic authentication in or use the SDK sample code generated by API Explorer.</p>
</div>
<div class="section" id="EN-US_TOPIC_0000001909847936__atuogenerate_2"><h4 class="sectiontitle">URI</h4><p id="EN-US_TOPIC_0000001909847936__p18171103083119">PUT /v2/{project_id}/datasets/{dataset_id}/data-annotations/samples</p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__table13172133093110" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Path Parameters</caption><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row12171103015316"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.3.2.5.1.1"><p id="EN-US_TOPIC_0000001909847936__p1517283073112">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.3.2.5.1.2"><p id="EN-US_TOPIC_0000001909847936__p1117315306318">Mandatory</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.3.2.5.1.3"><p id="EN-US_TOPIC_0000001909847936__p91731300315">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.3.3.2.5.1.4"><p id="EN-US_TOPIC_0000001909847936__p1217393073111">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row1317218309313"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p5173133016313">dataset_id</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p11173173017313">Yes</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p3174173063113">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p61741830133113">Dataset ID.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row121721230133120"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p171742306311">project_id</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p111741030183118">Yes</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p5174203014317">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1517463053119">Project ID. For details about how to obtain a project ID, see <a href="modelarts_03_0147.html">Obtaining a Project ID and Name</a>.</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="EN-US_TOPIC_0000001909847936__section817473018312"><h4 class="sectiontitle">Request Parameters</h4>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__request_UpdateSamplesReq" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Request body parameters</caption><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row171752309318"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.2.5.1.1"><p id="EN-US_TOPIC_0000001909847936__p01753308311">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.2.5.1.2"><p id="EN-US_TOPIC_0000001909847936__p0176193023117">Mandatory</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.2.5.1.3"><p id="EN-US_TOPIC_0000001909847936__p14176203053114">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.4.2.2.5.1.4"><p id="EN-US_TOPIC_0000001909847936__p161761530143117">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row2175173033113"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p11176133013112">email</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p141763308316">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p7176123017316">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.2.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p101764301315">Email address of a labeling team member.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row61754302318"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p2176203017314">samples</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p717633019319">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p121771330163112">Array of <a href="#EN-US_TOPIC_0000001909847936__request_SampleLabels">SampleLabels</a> objects</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.2.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p617710305317">Updated sample list.</p>
</td>
</tr>
</tbody>
</table>
</div>
<div class="tablenoborder"><a name="EN-US_TOPIC_0000001909847936__request_SampleLabels"></a><a name="request_SampleLabels"></a><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__request_SampleLabels" frame="border" border="1" rules="all"><caption><b>Table 3 </b>SampleLabels</caption><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row3177130173119"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.3.2.5.1.1"><p id="EN-US_TOPIC_0000001909847936__p101788301315">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.3.2.5.1.2"><p id="EN-US_TOPIC_0000001909847936__p317819306313">Mandatory</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.3.2.5.1.3"><p id="EN-US_TOPIC_0000001909847936__p1178530183116">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.4.3.2.5.1.4"><p id="EN-US_TOPIC_0000001909847936__p12178430163117">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row417763017313"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p171799303314">labels</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p101790309319">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p717933010318">Array of <a href="#EN-US_TOPIC_0000001909847936__request_SampleLabel">SampleLabel</a> objects</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p917918309317">Sample label list. If this parameter is left blank, all sample labels are deleted.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row101771930183110"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1417916301317">metadata</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p1617913020316">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p7179163023116"><a href="#EN-US_TOPIC_0000001909847936__request_SampleMetadata">SampleMetadata</a> object</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p318043011315">Key-value pair of the sample <strong id="EN-US_TOPIC_0000001909847936__b318063019318">metadata</strong> attribute.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row7177430203110"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p2018012304314">sample_id</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p16180430133113">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p118012301319">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1818093013118">Sample ID.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row161780304311"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p19180730113110">sample_type</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p18180163019314">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p141801630193118">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p191811530123115">Sample type. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul1018110304316"><li id="EN-US_TOPIC_0000001909847936__li141812309310"><p id="EN-US_TOPIC_0000001909847936__p1918183023116"><a name="EN-US_TOPIC_0000001909847936__li141812309310"></a><a name="li141812309310"></a><strong id="EN-US_TOPIC_0000001909847936__b1918123018318">0</strong>: image</p>
</li><li id="EN-US_TOPIC_0000001909847936__li71811230153112"><p id="EN-US_TOPIC_0000001909847936__p13181330113111"><a name="EN-US_TOPIC_0000001909847936__li71811230153112"></a><a name="li71811230153112"></a><strong id="EN-US_TOPIC_0000001909847936__b81817309311">1</strong>: text</p>
</li><li id="EN-US_TOPIC_0000001909847936__li118173023112"><p id="EN-US_TOPIC_0000001909847936__p1518183016311"><a name="EN-US_TOPIC_0000001909847936__li118173023112"></a><a name="li118173023112"></a><strong id="EN-US_TOPIC_0000001909847936__b4181830133113">2</strong>: speech</p>
</li><li id="EN-US_TOPIC_0000001909847936__li518123083113"><p id="EN-US_TOPIC_0000001909847936__p2181173012311"><a name="EN-US_TOPIC_0000001909847936__li518123083113"></a><a name="li518123083113"></a><strong id="EN-US_TOPIC_0000001909847936__b818133016310">4</strong>: table</p>
</li><li id="EN-US_TOPIC_0000001909847936__li118193033110"><p id="EN-US_TOPIC_0000001909847936__p918113073114"><a name="EN-US_TOPIC_0000001909847936__li118193033110"></a><a name="li118193033110"></a><strong id="EN-US_TOPIC_0000001909847936__b13181430183110">6</strong>: video</p>
</li><li id="EN-US_TOPIC_0000001909847936__li19181730153119"><p id="EN-US_TOPIC_0000001909847936__p11181030153115"><a name="EN-US_TOPIC_0000001909847936__li19181730153119"></a><a name="li19181730153119"></a><strong id="EN-US_TOPIC_0000001909847936__b18181103093114">9</strong>: custom format</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row10178153043118"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1718216301317">sample_usage</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p4182230153112">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p71821430173116">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p418273073116">Sample usage. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul14182430133118"><li id="EN-US_TOPIC_0000001909847936__li1918273015316"><p id="EN-US_TOPIC_0000001909847936__p1018212304318"><a name="EN-US_TOPIC_0000001909847936__li1918273015316"></a><a name="li1918273015316"></a><strong id="EN-US_TOPIC_0000001909847936__b1182143012317">TRAIN</strong>: training</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1318216301313"><p id="EN-US_TOPIC_0000001909847936__p191821030103115"><a name="EN-US_TOPIC_0000001909847936__li1318216301313"></a><a name="li1318216301313"></a><strong id="EN-US_TOPIC_0000001909847936__b1818263053111">EVAL</strong>: evaluation</p>
</li><li id="EN-US_TOPIC_0000001909847936__li17183123017316"><p id="EN-US_TOPIC_0000001909847936__p12183430113117"><a name="EN-US_TOPIC_0000001909847936__li17183123017316"></a><a name="li17183123017316"></a><strong id="EN-US_TOPIC_0000001909847936__b10183143033115">TEST</strong>: test</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1918383043114"><p id="EN-US_TOPIC_0000001909847936__p1183113033114"><a name="EN-US_TOPIC_0000001909847936__li1918383043114"></a><a name="li1918383043114"></a><strong id="EN-US_TOPIC_0000001909847936__b11183183012317">INFERENCE</strong>: inference</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row61784301311"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1218320301318">source</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p6183630103118">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1818383013317">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p19183113011312">Source address of sample data.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row4178630153114"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p20183230153117">worker_id</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p518323010315">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p18183183015318">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.3.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1218453083110">ID of a labeling team member.</p>
</td>
</tr>
</tbody>
</table>
</div>
<div class="tablenoborder"><a name="EN-US_TOPIC_0000001909847936__request_SampleLabel"></a><a name="request_SampleLabel"></a><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__request_SampleLabel" frame="border" border="1" rules="all"><caption><b>Table 4 </b>SampleLabel</caption><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row61847303318"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.4.2.5.1.1"><p id="EN-US_TOPIC_0000001909847936__p13185123023118">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.4.2.5.1.2"><p id="EN-US_TOPIC_0000001909847936__p111855306316">Mandatory</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.4.2.5.1.3"><p id="EN-US_TOPIC_0000001909847936__p918519307310">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.4.4.2.5.1.4"><p id="EN-US_TOPIC_0000001909847936__p101855307316">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row1418443019318"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p21851307313">annotated_by</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p2185183053119">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1618517306312">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.4.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p131861030133112">Video labeling method, which is used to distinguish whether a video is labeled manually or automatically. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul0186183017316"><li id="EN-US_TOPIC_0000001909847936__li1186143073112"><p id="EN-US_TOPIC_0000001909847936__p9186153012312"><a name="EN-US_TOPIC_0000001909847936__li1186143073112"></a><a name="li1186143073112"></a><strong id="EN-US_TOPIC_0000001909847936__b111861030153113">human</strong>: manual labeling</p>
</li><li id="EN-US_TOPIC_0000001909847936__li11186113053117"><p id="EN-US_TOPIC_0000001909847936__p2186230143114"><a name="EN-US_TOPIC_0000001909847936__li11186113053117"></a><a name="li11186113053117"></a><strong id="EN-US_TOPIC_0000001909847936__b181867305312">auto</strong>: automatic labeling</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row201841430203110"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p818643012313">id</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p1418620307312">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p018623019316">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.4.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p181861830183119">Label ID.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row1818433011316"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1918613019314">name</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p618613023110">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1318618306311">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.4.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1187143018319">Label name.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row1218423033114"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p41871130113116">property</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p15187103023120">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p11871730173110"><a href="#EN-US_TOPIC_0000001909847936__request_SampleLabelProperty">SampleLabelProperty</a> object</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.4.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p3187153083113">Attribute key-value pair of the sample label, such as the object shape and shape feature.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row111843305311"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p13187153012314">score</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p17187193017313">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p4187730173118">Float</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.4.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p7187163013113">Confidence.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row3184143013315"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p11187113013313">type</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p8187123043111">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p418711309319">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.4.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1188173003115">Label type. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul7188133093115"><li id="EN-US_TOPIC_0000001909847936__li1518813023112"><p id="EN-US_TOPIC_0000001909847936__p121883300315"><a name="EN-US_TOPIC_0000001909847936__li1518813023112"></a><a name="li1518813023112"></a><strong id="EN-US_TOPIC_0000001909847936__b4188730173118">0</strong>: image classification</p>
</li><li id="EN-US_TOPIC_0000001909847936__li161881230163114"><p id="EN-US_TOPIC_0000001909847936__p1618813018315"><a name="EN-US_TOPIC_0000001909847936__li161881230163114"></a><a name="li161881230163114"></a><strong id="EN-US_TOPIC_0000001909847936__b5188530183115">1</strong>: object detection</p>
</li><li id="EN-US_TOPIC_0000001909847936__li151881430173117"><p id="EN-US_TOPIC_0000001909847936__p20188130133111"><a name="EN-US_TOPIC_0000001909847936__li151881430173117"></a><a name="li151881430173117"></a><strong id="EN-US_TOPIC_0000001909847936__b218813053113">3</strong>: image segmentation</p>
</li><li id="EN-US_TOPIC_0000001909847936__li7188133016318"><p id="EN-US_TOPIC_0000001909847936__p7188130203111"><a name="EN-US_TOPIC_0000001909847936__li7188133016318"></a><a name="li7188133016318"></a><strong id="EN-US_TOPIC_0000001909847936__b20188163043110">100</strong>: text classification</p>
</li><li id="EN-US_TOPIC_0000001909847936__li18188113020312"><p id="EN-US_TOPIC_0000001909847936__p161881030193111"><a name="EN-US_TOPIC_0000001909847936__li18188113020312"></a><a name="li18188113020312"></a><strong id="EN-US_TOPIC_0000001909847936__b10188030193115">101</strong>: named entity recognition</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1118833013117"><p id="EN-US_TOPIC_0000001909847936__p1518823020312"><a name="EN-US_TOPIC_0000001909847936__li1118833013117"></a><a name="li1118833013117"></a><strong id="EN-US_TOPIC_0000001909847936__b7188113083113">102</strong>: text triplet relationship</p>
</li><li id="EN-US_TOPIC_0000001909847936__li14188930123116"><p id="EN-US_TOPIC_0000001909847936__p918817300317"><a name="EN-US_TOPIC_0000001909847936__li14188930123116"></a><a name="li14188930123116"></a><strong id="EN-US_TOPIC_0000001909847936__b418853017314">103</strong>: text triplet entity</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1718873043118"><p id="EN-US_TOPIC_0000001909847936__p618815307316"><a name="EN-US_TOPIC_0000001909847936__li1718873043118"></a><a name="li1718873043118"></a><strong id="EN-US_TOPIC_0000001909847936__b141887308319">200</strong>: sound classification</p>
</li><li id="EN-US_TOPIC_0000001909847936__li41881730183112"><p id="EN-US_TOPIC_0000001909847936__p318843015314"><a name="EN-US_TOPIC_0000001909847936__li41881730183112"></a><a name="li41881730183112"></a><strong id="EN-US_TOPIC_0000001909847936__b218853016314">201</strong>: speech content</p>
</li><li id="EN-US_TOPIC_0000001909847936__li4189153023116"><p id="EN-US_TOPIC_0000001909847936__p718915304313"><a name="EN-US_TOPIC_0000001909847936__li4189153023116"></a><a name="li4189153023116"></a><strong id="EN-US_TOPIC_0000001909847936__b151891430103113">202</strong>: speech paragraph labeling</p>
</li><li id="EN-US_TOPIC_0000001909847936__li3189103043114"><p id="EN-US_TOPIC_0000001909847936__p21898300318"><a name="EN-US_TOPIC_0000001909847936__li3189103043114"></a><a name="li3189103043114"></a><strong id="EN-US_TOPIC_0000001909847936__b1518917305314">600</strong>: video labeling</p>
</li></ul>
</td>
</tr>
</tbody>
</table>
</div>
<div class="tablenoborder"><a name="EN-US_TOPIC_0000001909847936__request_SampleLabelProperty"></a><a name="request_SampleLabelProperty"></a><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__request_SampleLabelProperty" frame="border" border="1" rules="all"><caption><b>Table 5 </b>SampleLabelProperty</caption><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row1019013043110"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.5.2.5.1.1"><p id="EN-US_TOPIC_0000001909847936__p519103012317">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.5.2.5.1.2"><p id="EN-US_TOPIC_0000001909847936__p13191930183113">Mandatory</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.5.2.5.1.3"><p id="EN-US_TOPIC_0000001909847936__p16191133083117">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.4.5.2.5.1.4"><p id="EN-US_TOPIC_0000001909847936__p1119143013314">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row01901030183115"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p121911130173120">@modelarts:content</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p1019183063114">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p121915309312">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1219193013315">Speech text content, which is a default attribute dedicated to the speech label (including the speech content and speech start and end points).</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row11907304312"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p81924306315">@modelarts:end_index</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p619211306313">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p319210302311">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p121921430203117">End position of the text, which is a default attribute dedicated to the named entity label. The end position does not include the character corresponding to the value of <strong id="EN-US_TOPIC_0000001909847936__b51921307319">end_index</strong>. Example:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul13192830163113"><li id="EN-US_TOPIC_0000001909847936__li18192330183116"><p id="EN-US_TOPIC_0000001909847936__p21921930153114"><a name="EN-US_TOPIC_0000001909847936__li18192330183116"></a><a name="li18192330183116"></a>If the text is "<strong id="EN-US_TOPIC_0000001909847936__b1519243023118">Barack Hussein Obama II (born August 4, 1961) is an attorney and politician.</strong>", <strong id="EN-US_TOPIC_0000001909847936__b91926306313">start_index</strong> and <strong id="EN-US_TOPIC_0000001909847936__b9192193015319">end_index</strong> of <strong id="EN-US_TOPIC_0000001909847936__b21921630153116">Barack Hussein Obama II</strong> are <strong id="EN-US_TOPIC_0000001909847936__b51921730173116">0</strong> and <strong id="EN-US_TOPIC_0000001909847936__b13192193011318">23</strong>, respectively.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li5192123019316"><p id="EN-US_TOPIC_0000001909847936__p1819213308313"><a name="EN-US_TOPIC_0000001909847936__li5192123019316"></a><a name="li5192123019316"></a>If the text is "<strong id="EN-US_TOPIC_0000001909847936__b6192930183119">Hope is the thing with feathers</strong>", <strong id="EN-US_TOPIC_0000001909847936__b3192103083115">start_index</strong> and <strong id="EN-US_TOPIC_0000001909847936__b1819213303312">end_index</strong> of <strong id="EN-US_TOPIC_0000001909847936__b21926302315">Hope</strong> are <strong id="EN-US_TOPIC_0000001909847936__b11921430123113">0</strong> and <strong id="EN-US_TOPIC_0000001909847936__b18192153018312">4</strong>, respectively.</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row12190230183118"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p819363093120">@modelarts:end_time</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p18193133015319">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p13193153023115">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1119363023112">Speech end time, which is a default attribute dedicated to the speech start/end point label, in the format of <strong id="EN-US_TOPIC_0000001909847936__b15193173073112">hh:mm:ss.SSS</strong>. (<strong id="EN-US_TOPIC_0000001909847936__b8193193012312">hh</strong> indicates hour; <strong id="EN-US_TOPIC_0000001909847936__b10193173014310">mm</strong> indicates minute; <strong id="EN-US_TOPIC_0000001909847936__b1193123073112">ss</strong> indicates second; and <strong id="EN-US_TOPIC_0000001909847936__b14193183010316">SSS</strong> indicates millisecond.)</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row1619033011311"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1919363023110">@modelarts:feature</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p6193133010316">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1219318307318">Object</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p6193230183119">Shape feature, which is a default attribute dedicated to the object detection label, with type of <strong id="EN-US_TOPIC_0000001909847936__b20193153014319">List</strong>. The upper left corner of the image is used as the coordinate origin [0, 0]. Each coordinate point is represented by [x, y], where x indicates the horizontal coordinate and y indicates the vertical coordinate (both x and y are &gt;=0). The format of each shape is as follows:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul819373011317"><li id="EN-US_TOPIC_0000001909847936__li1419333017313"><p id="EN-US_TOPIC_0000001909847936__p21938306314"><a name="EN-US_TOPIC_0000001909847936__li1419333017313"></a><a name="li1419333017313"></a><strong id="EN-US_TOPIC_0000001909847936__b191945306319">bndbox</strong> consists of two points, for example, <strong id="EN-US_TOPIC_0000001909847936__b619483093112">[[0,10],[50,95]]</strong>. The upper left vertex of the rectangle is the first point, and the lower right vertex is the second point. That is, the x-coordinate of the first point must be less than the x-coordinate of the second point, and the y-coordinate of the first point must be less than the y-coordinate of the second point.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li919433033118"><p id="EN-US_TOPIC_0000001909847936__p101941303314"><a name="EN-US_TOPIC_0000001909847936__li919433033118"></a><a name="li919433033118"></a><strong id="EN-US_TOPIC_0000001909847936__b1219433015315">polygon</strong>: consists of multiple points that are connected in sequence to form a polygon, for example, <strong id="EN-US_TOPIC_0000001909847936__b1319463073112">[[0,100],[50,95],[10,60],[500,400]]</strong>.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li181948307316"><p id="EN-US_TOPIC_0000001909847936__p19194193018319"><a name="EN-US_TOPIC_0000001909847936__li181948307316"></a><a name="li181948307316"></a><strong id="EN-US_TOPIC_0000001909847936__b219473016319">circle</strong>: consists of the center and radius, for example, <strong id="EN-US_TOPIC_0000001909847936__b419416307317">[[100,100],[50]]</strong>.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li131940304312"><p id="EN-US_TOPIC_0000001909847936__p191941630193117"><a name="EN-US_TOPIC_0000001909847936__li131940304312"></a><a name="li131940304312"></a><strong id="EN-US_TOPIC_0000001909847936__b11194123083115">line</strong>: consists of two points, for example, <strong id="EN-US_TOPIC_0000001909847936__b219443083120">[[0,100],[50,95]]</strong>. The first point is the start point, and the second point is the end point.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li119412306313"><p id="EN-US_TOPIC_0000001909847936__p119414301314"><a name="EN-US_TOPIC_0000001909847936__li119412306313"></a><a name="li119412306313"></a><strong id="EN-US_TOPIC_0000001909847936__b11194430163111">dashed</strong>: consists of two points, for example, <strong id="EN-US_TOPIC_0000001909847936__b17194530123114">[[0,100],[50,95]]</strong>. The first point is the start point, and the second point is the end point.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li18194123073119"><p id="EN-US_TOPIC_0000001909847936__p1019443093118"><a name="EN-US_TOPIC_0000001909847936__li18194123073119"></a><a name="li18194123073119"></a><strong id="EN-US_TOPIC_0000001909847936__b12194123013114">point</strong>: consists of one point, for example, <strong id="EN-US_TOPIC_0000001909847936__b319412305316">[[0,100]]</strong>.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1194153053110"><p id="EN-US_TOPIC_0000001909847936__p5194163015318"><a name="EN-US_TOPIC_0000001909847936__li1194153053110"></a><a name="li1194153053110"></a><strong id="EN-US_TOPIC_0000001909847936__b1619423011312">polyline</strong>: consists of multiple points, for example, <strong id="EN-US_TOPIC_0000001909847936__b1194103015312">[[0,100],[50,95],[10,60],[500,400]]</strong>.</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row5190193043116"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p319443019316">@modelarts:from</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p1119483018311">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p12195183073115">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p41951530163115">ID of the head entity in the triplet relationship label, which is a default attribute dedicated to the triplet relationship label.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row121901530203112"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p20195153014319">@modelarts:hard</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p4195630173113">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p161957302317">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p51961730163118">Sample labeled as a hard sample or not, which is a default attribute. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul1719663093112"><li id="EN-US_TOPIC_0000001909847936__li12196133015313"><p id="EN-US_TOPIC_0000001909847936__p7196930163111"><a name="EN-US_TOPIC_0000001909847936__li12196133015313"></a><a name="li12196133015313"></a><strong id="EN-US_TOPIC_0000001909847936__b61961930193113">0/false</strong>: not a hard example</p>
</li><li id="EN-US_TOPIC_0000001909847936__li18196173011313"><p id="EN-US_TOPIC_0000001909847936__p10196193003119"><a name="EN-US_TOPIC_0000001909847936__li18196173011313"></a><a name="li18196173011313"></a><strong id="EN-US_TOPIC_0000001909847936__b141961430203118">1/true</strong>: hard example</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row1219073063110"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p619693017310">@modelarts:hard_coefficient</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p15196163016316">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p131971130173120">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p141976301316">Coefficient of difficulty of each label level, which is a default attribute. The value range is <strong id="EN-US_TOPIC_0000001909847936__b1919713010311">[0,1]</strong>.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row8190630153114"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p9197183010316">@modelarts:hard_reasons</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p17197133013317">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p17197113013310">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p111971730193117">Reasons that the sample is a hard sample, which is a default attribute. Use a hyphen (-) to separate every two hard sample reason IDs, for example, <strong id="EN-US_TOPIC_0000001909847936__b131971530123110">3-20-21-19</strong>. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul11978304313"><li id="EN-US_TOPIC_0000001909847936__li6197530143116"><p id="EN-US_TOPIC_0000001909847936__p81974304313"><a name="EN-US_TOPIC_0000001909847936__li6197530143116"></a><a name="li6197530143116"></a><strong id="EN-US_TOPIC_0000001909847936__b1319763003117">0</strong>: No target objects are identified.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li119713053119"><p id="EN-US_TOPIC_0000001909847936__p20197330113119"><a name="EN-US_TOPIC_0000001909847936__li119713053119"></a><a name="li119713053119"></a><strong id="EN-US_TOPIC_0000001909847936__b2197193016317">1</strong>: The confidence is low.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li71971930153117"><p id="EN-US_TOPIC_0000001909847936__p14197130123118"><a name="EN-US_TOPIC_0000001909847936__li71971930153117"></a><a name="li71971930153117"></a><strong id="EN-US_TOPIC_0000001909847936__b1119883019315">2</strong>: The clustering result based on the training dataset is inconsistent with the prediction result.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li19198123013118"><p id="EN-US_TOPIC_0000001909847936__p419823019316"><a name="EN-US_TOPIC_0000001909847936__li19198123013118"></a><a name="li19198123013118"></a><strong id="EN-US_TOPIC_0000001909847936__b3198203003116">3</strong>: The prediction result is greatly different from the data of the same type in the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li4198203013313"><p id="EN-US_TOPIC_0000001909847936__p5198153093115"><a name="EN-US_TOPIC_0000001909847936__li4198203013313"></a><a name="li4198203013313"></a><strong id="EN-US_TOPIC_0000001909847936__b619883017316">4</strong>: The prediction results of multiple consecutive similar images are inconsistent.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li9198103016312"><p id="EN-US_TOPIC_0000001909847936__p15198163013311"><a name="EN-US_TOPIC_0000001909847936__li9198103016312"></a><a name="li9198103016312"></a><strong id="EN-US_TOPIC_0000001909847936__b1419820302312">5</strong>: There is a large offset between the image resolution and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li019811301314"><p id="EN-US_TOPIC_0000001909847936__p8198730153118"><a name="EN-US_TOPIC_0000001909847936__li019811301314"></a><a name="li019811301314"></a><strong id="EN-US_TOPIC_0000001909847936__b19198123014310">6</strong>: There is a large offset between the aspect ratio of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li7198123010313"><p id="EN-US_TOPIC_0000001909847936__p419863043114"><a name="EN-US_TOPIC_0000001909847936__li7198123010313"></a><a name="li7198123010313"></a><strong id="EN-US_TOPIC_0000001909847936__b41981130183116">7</strong>: There is a large offset between the brightness of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li81982306313"><p id="EN-US_TOPIC_0000001909847936__p81982309313"><a name="EN-US_TOPIC_0000001909847936__li81982306313"></a><a name="li81982306313"></a><strong id="EN-US_TOPIC_0000001909847936__b119893018312">8</strong>: There is a large offset between the saturation of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li519863013315"><p id="EN-US_TOPIC_0000001909847936__p18198153043115"><a name="EN-US_TOPIC_0000001909847936__li519863013315"></a><a name="li519863013315"></a><strong id="EN-US_TOPIC_0000001909847936__b111982301319">9</strong>: There is a large offset between the color richness of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1719853073120"><p id="EN-US_TOPIC_0000001909847936__p8198330153111"><a name="EN-US_TOPIC_0000001909847936__li1719853073120"></a><a name="li1719853073120"></a><strong id="EN-US_TOPIC_0000001909847936__b9198133015316">10</strong>: There is a large offset between the definition of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li319813033114"><p id="EN-US_TOPIC_0000001909847936__p619873073110"><a name="EN-US_TOPIC_0000001909847936__li319813033114"></a><a name="li319813033114"></a><strong id="EN-US_TOPIC_0000001909847936__b171991530133113">11</strong>: There is a large offset between the number of frames of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1719919304315"><p id="EN-US_TOPIC_0000001909847936__p1119920303310"><a name="EN-US_TOPIC_0000001909847936__li1719919304315"></a><a name="li1719919304315"></a><strong id="EN-US_TOPIC_0000001909847936__b2199330193116">12</strong>: There is a large offset between the standard deviation of area of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li219973093117"><p id="EN-US_TOPIC_0000001909847936__p119933083115"><a name="EN-US_TOPIC_0000001909847936__li219973093117"></a><a name="li219973093117"></a><strong id="EN-US_TOPIC_0000001909847936__b8199153093119">13</strong>: There is a large offset between the aspect ratio of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li3199830113119"><p id="EN-US_TOPIC_0000001909847936__p319911308319"><a name="EN-US_TOPIC_0000001909847936__li3199830113119"></a><a name="li3199830113119"></a><strong id="EN-US_TOPIC_0000001909847936__b141999307317">14</strong>: There is a large offset between the area portion of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li201997300313"><p id="EN-US_TOPIC_0000001909847936__p1119913306312"><a name="EN-US_TOPIC_0000001909847936__li201997300313"></a><a name="li201997300313"></a><strong id="EN-US_TOPIC_0000001909847936__b819953043117">15</strong>: There is a large offset between the edge of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li71991030163118"><p id="EN-US_TOPIC_0000001909847936__p4199630203118"><a name="EN-US_TOPIC_0000001909847936__li71991030163118"></a><a name="li71991030163118"></a><strong id="EN-US_TOPIC_0000001909847936__b151991630153112">16</strong>: There is a large offset between the brightness of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li9199103073110"><p id="EN-US_TOPIC_0000001909847936__p1199103012315"><a name="EN-US_TOPIC_0000001909847936__li9199103073110"></a><a name="li9199103073110"></a><strong id="EN-US_TOPIC_0000001909847936__b1219973014317">17</strong>: There is a large offset between the definition of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li14199143016319"><p id="EN-US_TOPIC_0000001909847936__p151994307311"><a name="EN-US_TOPIC_0000001909847936__li14199143016319"></a><a name="li14199143016319"></a><strong id="EN-US_TOPIC_0000001909847936__b1819963033118">18</strong>: There is a large offset between the stack of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li319993013117"><p id="EN-US_TOPIC_0000001909847936__p719923013111"><a name="EN-US_TOPIC_0000001909847936__li319993013117"></a><a name="li319993013117"></a><strong id="EN-US_TOPIC_0000001909847936__b1619914307317">19</strong>: The data enhancement result based on GaussianBlur is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li519919307312"><p id="EN-US_TOPIC_0000001909847936__p1219913010316"><a name="EN-US_TOPIC_0000001909847936__li519919307312"></a><a name="li519919307312"></a><strong id="EN-US_TOPIC_0000001909847936__b13200123063111">20</strong>: The data enhancement result based on fliplr is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1420013093115"><p id="EN-US_TOPIC_0000001909847936__p14200133053112"><a name="EN-US_TOPIC_0000001909847936__li1420013093115"></a><a name="li1420013093115"></a><strong id="EN-US_TOPIC_0000001909847936__b3200193003117">21</strong>: The data enhancement result based on Crop is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li2200163010315"><p id="EN-US_TOPIC_0000001909847936__p5200330153120"><a name="EN-US_TOPIC_0000001909847936__li2200163010315"></a><a name="li2200163010315"></a><strong id="EN-US_TOPIC_0000001909847936__b1020011309315">22</strong>: The data enhancement result based on flipud is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li32004305318"><p id="EN-US_TOPIC_0000001909847936__p14200153053115"><a name="EN-US_TOPIC_0000001909847936__li32004305318"></a><a name="li32004305318"></a><strong id="EN-US_TOPIC_0000001909847936__b120093018319">23</strong>: The data enhancement result based on scale is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li182005303311"><p id="EN-US_TOPIC_0000001909847936__p12200183019310"><a name="EN-US_TOPIC_0000001909847936__li182005303311"></a><a name="li182005303311"></a><strong id="EN-US_TOPIC_0000001909847936__b720003013113">24</strong>: The data enhancement result based on translate is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li520073011315"><p id="EN-US_TOPIC_0000001909847936__p1520033012316"><a name="EN-US_TOPIC_0000001909847936__li520073011315"></a><a name="li520073011315"></a><strong id="EN-US_TOPIC_0000001909847936__b520063016313">25</strong>: The data enhancement result based on shear is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li420053083117"><p id="EN-US_TOPIC_0000001909847936__p8200430163113"><a name="EN-US_TOPIC_0000001909847936__li420053083117"></a><a name="li420053083117"></a><strong id="EN-US_TOPIC_0000001909847936__b2200153010311">26</strong>: The data enhancement result based on superpixels is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1320014304314"><p id="EN-US_TOPIC_0000001909847936__p22001330203113"><a name="EN-US_TOPIC_0000001909847936__li1320014304314"></a><a name="li1320014304314"></a><strong id="EN-US_TOPIC_0000001909847936__b420123073110">27</strong>: The data enhancement result based on sharpen is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li16772193016314"><p id="EN-US_TOPIC_0000001909847936__p4772930173116"><a name="EN-US_TOPIC_0000001909847936__li16772193016314"></a><a name="li16772193016314"></a><strong id="EN-US_TOPIC_0000001909847936__b87729307317">28</strong>: The data enhancement result based on add is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li167721301315"><p id="EN-US_TOPIC_0000001909847936__p577273011313"><a name="EN-US_TOPIC_0000001909847936__li167721301315"></a><a name="li167721301315"></a><strong id="EN-US_TOPIC_0000001909847936__b17724301317">29</strong>: The data enhancement result based on invert is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li77724303315"><p id="EN-US_TOPIC_0000001909847936__p7772123011317"><a name="EN-US_TOPIC_0000001909847936__li77724303315"></a><a name="li77724303315"></a><strong id="EN-US_TOPIC_0000001909847936__b13772163083112">30</strong>: The data is predicted to be abnormal.</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row1019010304314"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1772130203110">@modelarts:shape</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p19772113012311">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p15772133020313">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p13772153020319">Object shape, which is a default attribute dedicated to the object detection label and is left empty by default. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul1772133019313"><li id="EN-US_TOPIC_0000001909847936__li97721130113112"><p id="EN-US_TOPIC_0000001909847936__p77721330163116"><a name="EN-US_TOPIC_0000001909847936__li97721130113112"></a><a name="li97721130113112"></a><strong id="EN-US_TOPIC_0000001909847936__b27722030153114">bndbox</strong>: rectangle</p>
</li><li id="EN-US_TOPIC_0000001909847936__li3772153018315"><p id="EN-US_TOPIC_0000001909847936__p1577213306315"><a name="EN-US_TOPIC_0000001909847936__li3772153018315"></a><a name="li3772153018315"></a><strong id="EN-US_TOPIC_0000001909847936__b077283019319">polygon</strong>: polygon</p>
</li><li id="EN-US_TOPIC_0000001909847936__li15772163083110"><p id="EN-US_TOPIC_0000001909847936__p177727306312"><a name="EN-US_TOPIC_0000001909847936__li15772163083110"></a><a name="li15772163083110"></a><strong id="EN-US_TOPIC_0000001909847936__b15772130133117">circle</strong>: circle</p>
</li><li id="EN-US_TOPIC_0000001909847936__li17772193013313"><p id="EN-US_TOPIC_0000001909847936__p18772133020316"><a name="EN-US_TOPIC_0000001909847936__li17772193013313"></a><a name="li17772193013313"></a><strong id="EN-US_TOPIC_0000001909847936__b27725302313">line</strong>: straight line</p>
</li><li id="EN-US_TOPIC_0000001909847936__li477243012315"><p id="EN-US_TOPIC_0000001909847936__p5772103016311"><a name="EN-US_TOPIC_0000001909847936__li477243012315"></a><a name="li477243012315"></a><strong id="EN-US_TOPIC_0000001909847936__b1177213033119">dashed</strong>: dotted line</p>
</li><li id="EN-US_TOPIC_0000001909847936__li17772730133110"><p id="EN-US_TOPIC_0000001909847936__p10772123012314"><a name="EN-US_TOPIC_0000001909847936__li17772730133110"></a><a name="li17772730133110"></a><strong id="EN-US_TOPIC_0000001909847936__b577243073112">point</strong>: point</p>
</li><li id="EN-US_TOPIC_0000001909847936__li14772173053118"><p id="EN-US_TOPIC_0000001909847936__p1977393011314"><a name="EN-US_TOPIC_0000001909847936__li14772173053118"></a><a name="li14772173053118"></a><strong id="EN-US_TOPIC_0000001909847936__b11773153019310">polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row1419016306315"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p9773153012314">@modelarts:source</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p1077323053118">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p977313010317">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p2773193020310">Speech source, which is a default attribute dedicated to the speech start/end point label and can be set to a speaker or narrator.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row131901730163115"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p177333043118">@modelarts:start_index</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p377353083117">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1977343093114">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p37731930143112">Start position of the text, which is a default attribute dedicated to the named entity label. The start value begins from 0, including the character corresponding to the value of <strong id="EN-US_TOPIC_0000001909847936__b127739307311">start_index</strong>.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row219018306314"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p77731130133114">@modelarts:start_time</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p13773103014311">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p147734300314">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p977313019314">Speech start time, which is a default attribute dedicated to the speech start/end point label, in the format of <strong id="EN-US_TOPIC_0000001909847936__b15773113073119">hh:mm:ss.SSS</strong>. (<strong id="EN-US_TOPIC_0000001909847936__b17732030193117">hh</strong> indicates hour; <strong id="EN-US_TOPIC_0000001909847936__b107731330163117">mm</strong> indicates minute; <strong id="EN-US_TOPIC_0000001909847936__b7773630163114">ss</strong> indicates second; and <strong id="EN-US_TOPIC_0000001909847936__b1177353016316">SSS</strong> indicates millisecond.)</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row419073018315"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p87738305317">@modelarts:to</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p20773123020310">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p107736309312">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.5.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1477373033119">ID of the tail entity in the triplet relationship label, which is a default attribute dedicated to the triplet relationship label.</p>
</td>
</tr>
</tbody>
</table>
</div>
<div class="tablenoborder"><a name="EN-US_TOPIC_0000001909847936__request_SampleMetadata"></a><a name="request_SampleMetadata"></a><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__request_SampleMetadata" frame="border" border="1" rules="all"><caption><b>Table 6 </b>SampleMetadata</caption><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row7204330163117"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.6.2.5.1.1"><p id="EN-US_TOPIC_0000001909847936__p12773123073113">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.6.2.5.1.2"><p id="EN-US_TOPIC_0000001909847936__p177731530193115">Mandatory</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.6.2.5.1.3"><p id="EN-US_TOPIC_0000001909847936__p1077310300314">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.4.6.2.5.1.4"><p id="EN-US_TOPIC_0000001909847936__p1577383015310">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row172041430103112"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p19773153033112">@modelarts:import_origin</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p577333073113">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p277333023117">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.6.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1177319306312">Sample source, which is a built-in attribute.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row11204183053112"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p117736302311">@modelarts:hard</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p137733308312">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p0773133015318">Double</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.6.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p4774163014312">Whether the sample is labeled as a hard sample, which is a default attribute. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul3774030153117"><li id="EN-US_TOPIC_0000001909847936__li9774183073110"><p id="EN-US_TOPIC_0000001909847936__p17743305316"><a name="EN-US_TOPIC_0000001909847936__li9774183073110"></a><a name="li9774183073110"></a><strong id="EN-US_TOPIC_0000001909847936__b15774430153110">0</strong>: non-hard sample</p>
</li><li id="EN-US_TOPIC_0000001909847936__li127747306314"><p id="EN-US_TOPIC_0000001909847936__p10774163017318"><a name="EN-US_TOPIC_0000001909847936__li127747306314"></a><a name="li127747306314"></a><strong id="EN-US_TOPIC_0000001909847936__b277417303316">1</strong>: hard sample</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row1020410307318"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p277412305315">@modelarts:hard_coefficient</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p1877415309317">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1177433018319">Double</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.6.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p1577463014318">Coefficient of difficulty of each sample level, which is a default attribute. The value range is <strong id="EN-US_TOPIC_0000001909847936__b14774530173119">[0,1]</strong>.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row820483063115"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p77741230143119">@modelarts:hard_reasons</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p477463043111">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1677418301312">Array of integers</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.6.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p15774133010317">ID of a hard sample reason, which is a default attribute. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul077473015312"><li id="EN-US_TOPIC_0000001909847936__li4774113023119"><p id="EN-US_TOPIC_0000001909847936__p07747308319"><a name="EN-US_TOPIC_0000001909847936__li4774113023119"></a><a name="li4774113023119"></a><strong id="EN-US_TOPIC_0000001909847936__b207741930143117">0</strong>: No object is identified.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li277423012316"><p id="EN-US_TOPIC_0000001909847936__p20774130183111"><a name="EN-US_TOPIC_0000001909847936__li277423012316"></a><a name="li277423012316"></a><strong id="EN-US_TOPIC_0000001909847936__b0774930163114">1</strong>: The confidence is low.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li187741530193116"><p id="EN-US_TOPIC_0000001909847936__p877463073113"><a name="EN-US_TOPIC_0000001909847936__li187741530193116"></a><a name="li187741530193116"></a><strong id="EN-US_TOPIC_0000001909847936__b177483012313">2</strong>: The clustering result based on the training dataset is inconsistent with the prediction result.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li147741930183114"><p id="EN-US_TOPIC_0000001909847936__p17749303317"><a name="EN-US_TOPIC_0000001909847936__li147741930183114"></a><a name="li147741930183114"></a><strong id="EN-US_TOPIC_0000001909847936__b6774330153114">3</strong>: The prediction result is greatly different from the data of the same type in the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li177743304312"><p id="EN-US_TOPIC_0000001909847936__p877414303314"><a name="EN-US_TOPIC_0000001909847936__li177743304312"></a><a name="li177743304312"></a><strong id="EN-US_TOPIC_0000001909847936__b127749306315">4</strong>: The prediction results of multiple consecutive similar images are inconsistent.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1777414309316"><p id="EN-US_TOPIC_0000001909847936__p16774143013311"><a name="EN-US_TOPIC_0000001909847936__li1777414309316"></a><a name="li1777414309316"></a><strong id="EN-US_TOPIC_0000001909847936__b187741630143116">5</strong>: There is a large offset between the image resolution and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li0774143093112"><p id="EN-US_TOPIC_0000001909847936__p6774630143116"><a name="EN-US_TOPIC_0000001909847936__li0774143093112"></a><a name="li0774143093112"></a><strong id="EN-US_TOPIC_0000001909847936__b11774153063112">6</strong>: There is a large offset between the aspect ratio of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li977423063111"><p id="EN-US_TOPIC_0000001909847936__p187749306317"><a name="EN-US_TOPIC_0000001909847936__li977423063111"></a><a name="li977423063111"></a><strong id="EN-US_TOPIC_0000001909847936__b1777423016311">7</strong>: There is a large offset between the brightness of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li477483019319"><p id="EN-US_TOPIC_0000001909847936__p7774163019318"><a name="EN-US_TOPIC_0000001909847936__li477483019319"></a><a name="li477483019319"></a><strong id="EN-US_TOPIC_0000001909847936__b15774183017318">8</strong>: There is a large offset between the saturation of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1277423093118"><p id="EN-US_TOPIC_0000001909847936__p1977403093117"><a name="EN-US_TOPIC_0000001909847936__li1277423093118"></a><a name="li1277423093118"></a><strong id="EN-US_TOPIC_0000001909847936__b7774330173119">9</strong>: There is a large offset between the color richness of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li677463018313"><p id="EN-US_TOPIC_0000001909847936__p2774183053111"><a name="EN-US_TOPIC_0000001909847936__li677463018313"></a><a name="li677463018313"></a><strong id="EN-US_TOPIC_0000001909847936__b147741306312">10</strong>: There is a large offset between the definition of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li87744303314"><p id="EN-US_TOPIC_0000001909847936__p19774730173111"><a name="EN-US_TOPIC_0000001909847936__li87744303314"></a><a name="li87744303314"></a><strong id="EN-US_TOPIC_0000001909847936__b57741330193110">11</strong>: There is a large offset between the number of frames of the image and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li18774163019316"><p id="EN-US_TOPIC_0000001909847936__p7774730163115"><a name="EN-US_TOPIC_0000001909847936__li18774163019316"></a><a name="li18774163019316"></a><strong id="EN-US_TOPIC_0000001909847936__b2774143013319">12</strong>: There is a large offset between the standard deviation of area of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li977473016314"><p id="EN-US_TOPIC_0000001909847936__p1577411300311"><a name="EN-US_TOPIC_0000001909847936__li977473016314"></a><a name="li977473016314"></a><strong id="EN-US_TOPIC_0000001909847936__b14775113014314">13</strong>: There is a large offset between the aspect ratio of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li677593013112"><p id="EN-US_TOPIC_0000001909847936__p1477583020317"><a name="EN-US_TOPIC_0000001909847936__li677593013112"></a><a name="li677593013112"></a><strong id="EN-US_TOPIC_0000001909847936__b277543010310">14</strong>: There is a large offset between the area portion of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li877553003118"><p id="EN-US_TOPIC_0000001909847936__p17751730193120"><a name="EN-US_TOPIC_0000001909847936__li877553003118"></a><a name="li877553003118"></a><strong id="EN-US_TOPIC_0000001909847936__b277513306317">15</strong>: There is a large offset between the edge of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1877593015310"><p id="EN-US_TOPIC_0000001909847936__p18775113043113"><a name="EN-US_TOPIC_0000001909847936__li1877593015310"></a><a name="li1877593015310"></a><strong id="EN-US_TOPIC_0000001909847936__b7775113016310">16</strong>: There is a large offset between the brightness of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li777511309318"><p id="EN-US_TOPIC_0000001909847936__p14775153015317"><a name="EN-US_TOPIC_0000001909847936__li777511309318"></a><a name="li777511309318"></a><strong id="EN-US_TOPIC_0000001909847936__b107751030183115">17</strong>: There is a large offset between the definition of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1477518303311"><p id="EN-US_TOPIC_0000001909847936__p1477583011318"><a name="EN-US_TOPIC_0000001909847936__li1477518303311"></a><a name="li1477518303311"></a><strong id="EN-US_TOPIC_0000001909847936__b11775163014312">18</strong>: There is a large offset between the stack of image frames and the feature distribution of the training dataset.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li12775030123112"><p id="EN-US_TOPIC_0000001909847936__p2775143012315"><a name="EN-US_TOPIC_0000001909847936__li12775030123112"></a><a name="li12775030123112"></a><strong id="EN-US_TOPIC_0000001909847936__b1177520305317">19</strong>: The data enhancement result based on GaussianBlur is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1277593093115"><p id="EN-US_TOPIC_0000001909847936__p277543014315"><a name="EN-US_TOPIC_0000001909847936__li1277593093115"></a><a name="li1277593093115"></a><strong id="EN-US_TOPIC_0000001909847936__b107754302313">20</strong>: The data enhancement result based on fliplr is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li10775193017319"><p id="EN-US_TOPIC_0000001909847936__p15775133013113"><a name="EN-US_TOPIC_0000001909847936__li10775193017319"></a><a name="li10775193017319"></a><strong id="EN-US_TOPIC_0000001909847936__b1277523093114">21</strong>: The data enhancement result based on Crop is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1377523063113"><p id="EN-US_TOPIC_0000001909847936__p1775133010317"><a name="EN-US_TOPIC_0000001909847936__li1377523063113"></a><a name="li1377523063113"></a><strong id="EN-US_TOPIC_0000001909847936__b777583012311">22</strong>: The data enhancement result based on flipud is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li9775730173110"><p id="EN-US_TOPIC_0000001909847936__p1177543015318"><a name="EN-US_TOPIC_0000001909847936__li9775730173110"></a><a name="li9775730173110"></a><strong id="EN-US_TOPIC_0000001909847936__b27754309313">23</strong>: The data enhancement result based on scale is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li13775203033112"><p id="EN-US_TOPIC_0000001909847936__p157751530173112"><a name="EN-US_TOPIC_0000001909847936__li13775203033112"></a><a name="li13775203033112"></a><strong id="EN-US_TOPIC_0000001909847936__b577523093116">24</strong>: The data enhancement result based on translate is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li777573012312"><p id="EN-US_TOPIC_0000001909847936__p3775203053116"><a name="EN-US_TOPIC_0000001909847936__li777573012312"></a><a name="li777573012312"></a><strong id="EN-US_TOPIC_0000001909847936__b1775630123119">25</strong>: The data enhancement result based on shear is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li197751730133119"><p id="EN-US_TOPIC_0000001909847936__p1677553093113"><a name="EN-US_TOPIC_0000001909847936__li197751730133119"></a><a name="li197751730133119"></a><strong id="EN-US_TOPIC_0000001909847936__b77751930173114">26</strong>: The data enhancement result based on superpixels is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li9775123053112"><p id="EN-US_TOPIC_0000001909847936__p1577533017310"><a name="EN-US_TOPIC_0000001909847936__li9775123053112"></a><a name="li9775123053112"></a><strong id="EN-US_TOPIC_0000001909847936__b14775030173114">27</strong>: The data enhancement result based on sharpen is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li677573017311"><p id="EN-US_TOPIC_0000001909847936__p14775113012311"><a name="EN-US_TOPIC_0000001909847936__li677573017311"></a><a name="li677573017311"></a><strong id="EN-US_TOPIC_0000001909847936__b377593015312">28</strong>: The data enhancement result based on add is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li177617307315"><p id="EN-US_TOPIC_0000001909847936__p1577673073111"><a name="EN-US_TOPIC_0000001909847936__li177617307315"></a><a name="li177617307315"></a><strong id="EN-US_TOPIC_0000001909847936__b157768303313">29</strong>: The data enhancement result based on invert is inconsistent with the prediction result of the original image.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li47761301313"><p id="EN-US_TOPIC_0000001909847936__p1776143017312"><a name="EN-US_TOPIC_0000001909847936__li47761301313"></a><a name="li47761301313"></a><strong id="EN-US_TOPIC_0000001909847936__b137761330153111">30</strong>: The data is predicted to be abnormal.</p>
</li></ul>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row2020418309313"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.1 "><p id="EN-US_TOPIC_0000001909847936__p4776153017318">@modelarts:size</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.2 "><p id="EN-US_TOPIC_0000001909847936__p977610307311">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.5.1.3 "><p id="EN-US_TOPIC_0000001909847936__p7776183020314">Array of objects</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.4.6.2.5.1.4 "><p id="EN-US_TOPIC_0000001909847936__p9776113033111">Image size (width, height, and depth of the image), which is a default attribute, with type of <strong id="EN-US_TOPIC_0000001909847936__b1377653023116">List&lt;Integer&gt;</strong>. In the list, the first number indicates the width (pixels), the second number indicates the height (pixels), and the third number indicates the depth (the depth can be left blank and the default value is <strong id="EN-US_TOPIC_0000001909847936__b7776123012314">3</strong>). For example, <strong id="EN-US_TOPIC_0000001909847936__b977617302312">[100,200,3]</strong> and <strong id="EN-US_TOPIC_0000001909847936__b20776930193110">[100,200]</strong> are both valid. Note: This parameter is mandatory only when the sample label list contains the object detection label.</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="EN-US_TOPIC_0000001909847936__section11776203053110"><h4 class="sectiontitle">Response Parameters</h4><p id="EN-US_TOPIC_0000001909847936__p10776430143117"><strong id="EN-US_TOPIC_0000001909847936__b377653019318">Status code: 200</strong></p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__response_UpdateSamplesResp" frame="border" border="1" rules="all"><caption><b>Table 7 </b>Response body parameters</caption><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row1620819305318"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.3.2.4.1.1"><p id="EN-US_TOPIC_0000001909847936__p277663093118">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.3.2.4.1.2"><p id="EN-US_TOPIC_0000001909847936__p1677623043111">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="60%" id="mcps1.3.5.3.2.4.1.3"><p id="EN-US_TOPIC_0000001909847936__p37761830193112">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row0208183014317"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="EN-US_TOPIC_0000001909847936__p11776830173120">error_code</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="EN-US_TOPIC_0000001909847936__p5776163073113">String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1877613013318">Error code.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row122088303312"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="EN-US_TOPIC_0000001909847936__p37761730183111">error_msg</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="EN-US_TOPIC_0000001909847936__p177765304316">String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="EN-US_TOPIC_0000001909847936__p177653012312">Error message.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row162088309318"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1777693043115">results</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="EN-US_TOPIC_0000001909847936__p47761130153112">Array of <a href="#EN-US_TOPIC_0000001909847936__response_BatchResponse">BatchResponse</a> objects</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="EN-US_TOPIC_0000001909847936__p77761830143110">Response list for updating sample labels in batches.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row172081301311"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="EN-US_TOPIC_0000001909847936__p17776103043120">success</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="EN-US_TOPIC_0000001909847936__p19776630113116">Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="EN-US_TOPIC_0000001909847936__p12776530103112">Whether the operation is successful. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul1077693019314"><li id="EN-US_TOPIC_0000001909847936__li167761130123114"><p id="EN-US_TOPIC_0000001909847936__p167761030173113"><a name="EN-US_TOPIC_0000001909847936__li167761130123114"></a><a name="li167761130123114"></a><strong id="EN-US_TOPIC_0000001909847936__b1577653012312">true</strong>: successful</p>
</li><li id="EN-US_TOPIC_0000001909847936__li1877743020311"><p id="EN-US_TOPIC_0000001909847936__p15777153033118"><a name="EN-US_TOPIC_0000001909847936__li1877743020311"></a><a name="li1877743020311"></a><strong id="EN-US_TOPIC_0000001909847936__b1077743017318">false</strong>: failed</p>
</li></ul>
</td>
</tr>
</tbody>
</table>
</div>
<div class="tablenoborder"><a name="EN-US_TOPIC_0000001909847936__response_BatchResponse"></a><a name="response_BatchResponse"></a><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__response_BatchResponse" frame="border" border="1" rules="all"><caption><b>Table 8 </b>BatchResponse</caption><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row3210123003114"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.4.2.4.1.1"><p id="EN-US_TOPIC_0000001909847936__p47770303314">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.4.2.4.1.2"><p id="EN-US_TOPIC_0000001909847936__p12777123083117">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="60%" id="mcps1.3.5.4.2.4.1.3"><p id="EN-US_TOPIC_0000001909847936__p27771230173115">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row1121043073115"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.1 "><p id="EN-US_TOPIC_0000001909847936__p10777930133113">error_code</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.2 "><p id="EN-US_TOPIC_0000001909847936__p377713017312">String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.4.2.4.1.3 "><p id="EN-US_TOPIC_0000001909847936__p1677733011315">Error code.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row112105300317"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.1 "><p id="EN-US_TOPIC_0000001909847936__p27774307319">error_msg</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.2 "><p id="EN-US_TOPIC_0000001909847936__p8777130193111">String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.4.2.4.1.3 "><p id="EN-US_TOPIC_0000001909847936__p18777330183119">Error message.</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row22101330183113"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.1 "><p id="EN-US_TOPIC_0000001909847936__p3777113014312">success</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.2 "><p id="EN-US_TOPIC_0000001909847936__p1077710301318">Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.4.2.4.1.3 "><p id="EN-US_TOPIC_0000001909847936__p127777301318">Check whether the operation is successful. Options:</p>
<ul id="EN-US_TOPIC_0000001909847936__ul27771230193115"><li id="EN-US_TOPIC_0000001909847936__li19777193023114"><p id="EN-US_TOPIC_0000001909847936__p14777193083120"><a name="EN-US_TOPIC_0000001909847936__li19777193023114"></a><a name="li19777193023114"></a><strong id="EN-US_TOPIC_0000001909847936__b6777930113118">true</strong>: The operation is successful.</p>
</li><li id="EN-US_TOPIC_0000001909847936__li67771230173117"><p id="EN-US_TOPIC_0000001909847936__p11777730133111"><a name="EN-US_TOPIC_0000001909847936__li67771230173117"></a><a name="li67771230173117"></a><strong id="EN-US_TOPIC_0000001909847936__b8777730183119">false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="EN-US_TOPIC_0000001909847936__section177733020317"><h4 class="sectiontitle">Example Requests</h4><p id="EN-US_TOPIC_0000001909847936__p107772304314">Updating Sample Labels in Batches</p>
<pre class="screen" id="EN-US_TOPIC_0000001909847936__screen1977714305317">{
"samples" : [ {
"sample_id" : "8b583c44bf249f8ba43ea42c92920221",
"labels" : [ {
"name" : "apple"
} ]
}, {
"sample_id" : "b5fe3039879660a2e6bf18166e247f68",
"labels" : [ {
"name" : "apple"
} ]
} ]
}</pre>
</div>
<div class="section" id="EN-US_TOPIC_0000001909847936__section16778173003112"><h4 class="sectiontitle">Example Responses</h4><p id="EN-US_TOPIC_0000001909847936__p177813307311"><strong id="EN-US_TOPIC_0000001909847936__b10778330123114">Status code: 200</strong></p>
<p id="EN-US_TOPIC_0000001909847936__p2077813019312">OK</p>
<pre class="screen" id="EN-US_TOPIC_0000001909847936__screen677811301316">{
"success" : true
}</pre>
</div>
<div class="section" id="EN-US_TOPIC_0000001909847936__section11778930193116"><h4 class="sectiontitle">Status Codes</h4>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001909847936__status_code" frame="border" border="1" rules="all"><thead align="left"><tr id="EN-US_TOPIC_0000001909847936__row5216330133119"><th align="left" class="cellrowborder" valign="top" width="15%" id="mcps1.3.8.2.1.3.1.1"><p id="EN-US_TOPIC_0000001909847936__p15778133033112">Status Code</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="85%" id="mcps1.3.8.2.1.3.1.2"><p id="EN-US_TOPIC_0000001909847936__p11778183017312">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="EN-US_TOPIC_0000001909847936__row121683063118"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.8.2.1.3.1.1 "><p id="EN-US_TOPIC_0000001909847936__p147781630163114">200</p>
</td>
<td class="cellrowborder" valign="top" width="85%" headers="mcps1.3.8.2.1.3.1.2 "><p id="EN-US_TOPIC_0000001909847936__p16778230113111">OK</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row921633019317"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.8.2.1.3.1.1 "><p id="EN-US_TOPIC_0000001909847936__p14778930133111">401</p>
</td>
<td class="cellrowborder" valign="top" width="85%" headers="mcps1.3.8.2.1.3.1.2 "><p id="EN-US_TOPIC_0000001909847936__p47781930123110">Unauthorized</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row821616308316"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.8.2.1.3.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1177853011316">403</p>
</td>
<td class="cellrowborder" valign="top" width="85%" headers="mcps1.3.8.2.1.3.1.2 "><p id="EN-US_TOPIC_0000001909847936__p1677833043111">Forbidden</p>
</td>
</tr>
<tr id="EN-US_TOPIC_0000001909847936__row1216183010317"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.8.2.1.3.1.1 "><p id="EN-US_TOPIC_0000001909847936__p1777823017314">404</p>
</td>
<td class="cellrowborder" valign="top" width="85%" headers="mcps1.3.8.2.1.3.1.2 "><p id="EN-US_TOPIC_0000001909847936__p777853023115">Not Found</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="EN-US_TOPIC_0000001909847936__section18778730113113"><h4 class="sectiontitle">Error Codes</h4><p id="EN-US_TOPIC_0000001909847936__p157789301316">See <a href="modelarts_03_0095.html">Error Codes</a>.</p>
</div>
</div>
<div>
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<div class="parentlink"><strong>Parent topic:</strong> <a href="dataset_management.html">Data Management</a></div>
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