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Lai, Weijian
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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>
13 lines
1.2 KiB
HTML
13 lines
1.2 KiB
HTML
<a name="EN-US_TOPIC_0000002043183648"></a><a name="EN-US_TOPIC_0000002043183648"></a>
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<h1 class="topictitle1">Labeling Data</h1>
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<div id="body0000001193488989"><p id="EN-US_TOPIC_0000002043183648__p1955114611415">Model training requires a large amount of labeled data. Therefore, before training a model, label data. You can create a manual labeling job labeled by one person or by a group of persons (team labeling), or enable auto labeling to quickly label images. You can also modify existing labels, or delete them and re-label.</p>
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<ul id="EN-US_TOPIC_0000002043183648__ul11935910161716"><li id="EN-US_TOPIC_0000002043183648__li18936101018176">Manual labeling: allows you to manually label data.</li><li id="EN-US_TOPIC_0000002043183648__li16713738201716">Auto labeling: allows you to automatically label remaining data after a small amount of data is manually labeled. </li><li id="EN-US_TOPIC_0000002043183648__li997712572177">Team labeling: allows you to perform collaborative labeling for a large amount of data.</li></ul>
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<div class="familylinks">
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<div class="parentlink"><strong>Parent topic:</strong> <a href="modelarts_88_0146.html">Data Preparation and Analysis</a></div>
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