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AVA

Dataset URL

Description : AVA is a dataset for spatio-temporal localization of atomic visual actions. The vocabulary consists of 80 different atomic visual actions. The dataset consists of 57.6k video segments collected from 192 different movies, where segments are 3 second long videos extracted sequentially in 15 minute chunks from each movie. Using chunks of 15 minutes per video enables diversity at the same time as continuity. A total of 210k actions are labeld. (see https://research.google.com/ava/ and http://thoth.inrialpes.fr/ava/ )

Number of Videos : 57600

Number of Classes : 80

Resources

Evaluation: MAP@IOU of 0.5

Description: Mean average precision at IOU threshold of 0.5

Results


Result Paper Description URL Peer Reviewed Year
Result Paper Description URL Peer Reviewed Year
18.4 AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions[Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik] RGB + Deep Flow URL No 2016
18.1 AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions[Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik] RGB + TVL-1 URL No 2016

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