  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.
