{"document":{"Id":8,"PageName":"Face Recognition","PageSlug":"Face-Recognition","MetaTitle":"Face Recognition API Documentation","MetaDescription":"Get insights on facial recognition API features, use cases, and implementation.","documentList":null},"documentdata":"
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Face Recognition<\/h3>\n

<p><span style="background-color: transparent; color: rgb(14, 16, 26);">At first, the OAuth process 2.0 where the generated token has been passed to call the API named Face <\/span>Recognition <span style="background-color: transparent; color: rgb(14, 16, 26);">will check your entire Image as well entire video to check whether any contain is not perfect or the contain doesn't include the update of the same attempt the entire the start point to detect &amp; stop out the contain itself to be paused &amp; not to move onwards for the update of it, will detect &amp; removes the async functionality of it. It will work the same basic logic feature for Images as well as for Videos.<\/span><\/p><\/p>\n\n <\/div>\n\n

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\n Image Face Detection<\/span>\n
\n \"Copy\"\n <\/div>\n <\/div>\n
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<pre class="ql-syntax" spellcheck="false">curl -X 'POST' \\\n 'https:\/\/sandbox.quickmoderate.com\/ClassifyMedia\/DetectFacesAsync' \\\n -H 'accept: *\/*' \\\n -H 'X-Auth-Key: Your Auth Key'\\\n -H 'Content-Type: application\/json' \\\n -d '{\n "imageUrl": "Your Image URL"\n}'\n\n\n\n<\/pre><\/div>\n <\/div>\n <\/div>\n
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\n Video Face Detection<\/span>\n
\n \"Copy\"\n <\/div>\n <\/div>\n
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<pre class="ql-syntax" spellcheck="false">curl -X 'POST' \\\n 'https:\/\/sandbox.quickmoderate.com\/ClassifyMedia\/DetectFacesInVideoAsync' \\\n -H 'accept: *\/*' \\\n -H 'X-Auth-Key: Your Auth Key' \\\n -H 'Content-Type: application\/json' \\\n -d '{\n "videoUrl": "Your Video URL"\n}'\n<\/pre><\/div>\n <\/div>\n <\/div>\n \n <\/div>\n <\/div>\n "}