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> :::image type="content" source="./media/animated-characters-recognition/flow.png" alt-text="Image of a flow diagram ." lightbox="./media/animated-characters-recognition/flow.png":::
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## Accounts
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|Custom Vision account|Managed behind the scenes by Azure Video Indexer. |Your Custom Vision account is connected to Azure Video Indexer.|
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|Number of animation models|One|Up to 100 models per account (Custom Vision limitation).|
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|Training the model|Azure Video Indexer trains the model for new characters additional examples of existing characters.|The account owner trains the model when they are ready to make changes.|
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|Training the model|Azure Video Indexer trains the model for new characters additional examples of existing characters.|The account owner trains the model when they're ready to make changes.|
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|Advanced options in Custom Vision|No access to the Custom Vision portal.|You can adjust the models yourself in the Custom Vision portal.|
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## Use the animated character detection with portal and API
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## Limitations
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* Currently, the "animation identification" capability is not supported in East-Asia region.
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* Currently, the "animation identification" capability isn't supported in East-Asia region.
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* Characters that appear to be small or far in the video may not be identified properly if the video's quality is poor.
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* The recommendation is to use a model per set of animated characters (for example per an animated series).
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### Video models
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***Face detection**: Detects and groups faces appearing in the video.
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***Celebrity identification**: Identifies over 1 million celebrities—like world leaders, actors, actresses, athletes, researchers, business, and tech leaders across the globe. The data about these celebrities can also be found on various websites (IMDB, Wikipedia, and so on).
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***Celebrity identification**: Identifies over 1 million celebrities—like world leaders, actors, artists, athletes, researchers, business, and tech leaders across the globe. The data about these celebrities can also be found on various websites (IMDB, Wikipedia, and so on).
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***Account-based face identification**: Trains a model for a specific account. It then recognizes faces in the video based on the trained model. For more information, see [Customize a Person model from the Azure Video Indexer website](customize-person-model-with-website.md) and [Customize a Person model with the Azure Video Indexer API](customize-person-model-with-api.md).
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***Thumbnail extraction for faces**: Identifies the best captured face in each group of faces (based on quality, size, and frontal position) and extracts it as an image asset.
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***On-screen text recognition (OCR)**: Extracts and groups text that appears on video as overlay, slides, or in the background.
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***Animated characters detection** : Detects, groups, and recognizes characters in animated content via integration with [Cognitive Services custom vision](https://azure.microsoft.com/services/cognitive-services/custom-vision-service/). For more information, see [Animated character detection](animated-characters-recognition.md).
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***Editorial shot type detection**: Tags shots based on their type (like wide shot, medium shot, close up, extreme close up, two shot, multiple people, outdoor and indoor, and so on). For more information, see [Editorial shot type detection](scenes-shots-keyframes.md#editorial-shot-type-detection).
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***Observed people tracking** (preview): Detects observed people in videos and provides information such as the location of the person in the video frame (using bounding boxes) and the exact timestamp (start, end) and confidence when a person appears. For more information, see [Trace observed people in a video](observed-people-tracing.md).
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***People's detected clothing** (preview): Detects the clothing types of people appearing in the video and provides information such as long or short sleeves, long or short pants and skirt or dress. The detected clothing is associated with the people wearing it and the exact timestamp (start,end) along with a confidence level for the detection are provided. For more information, see [detected clothing](detected-clothing.md).
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***People's detected clothing** (preview): Detects the clothing types of people appearing in the video and provides information such as long or short sleeves, long or short pants and skirt or dress. The detected clothing is associated with the people wearing it and the exact timestamp (start,end) along with a confidence level for the detection are provided. For more information, see [detected clothing](detected-clothing.md).
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***Featured clothing** (preview): captures featured clothing images appearing in a video. You can improve your targeted ads by using the featured clothing insight. For information on how the featured clothing images are ranked and how to get the insights, see [featured clothing](observed-people-featured-clothing.md).
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***Matched person** (preview): Matches people that were observed in the video with the corresponding faces detected. The matching between the observed people and the faces contain a confidence level.
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