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UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

About

We introduce UCF101 which is currently the largest dataset of human actions. It consists of 101 action classes, over 13k clips and 27 hours of video data. The database consists of realistic user uploaded videos containing camera motion and cluttered background. Additionally, we provide baseline action recognition results on this new dataset using standard bag of words approach with overall performance of 44.5%. To the best of our knowledge, UCF101 is currently the most challenging dataset of actions due to its large number of classes, large number of clips and also unconstrained nature of such clips.

Khurram Soomro, Amir Roshan Zamir, Mubarak Shah• 2012

Related benchmarks

TaskDatasetResultRank
Action RecognitionUCF101
Accuracy43.9
365
Action RecognitionHMDB51
3-Fold Accuracy23
191
Video GenerationUCF-101 (test)
Inception Score34.49
105
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