UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These 101 categories can be classified ...

A dataset for action recognition in video data.

3 дек. 2012 г. · 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 current state-of-the-art on UCF101 is FTP-UniFormerV2-L/14. See a full comparison of 89 papers with code.

23 нояб. 2022 г. · A 101-label video classification dataset. Versions: @article{DBLP:journals/corr/abs-1212-0402, author = {Khurram Soomro and Amir Roshan Zamir and Mubarak Shah},

Introduction: The UCF-101 dataset is a widely used benchmark for action recognition in videos. The dataset contains 13,320 videos of 101 action categories, ...

UCF101 is an action recognition video dataset. This dataset consider every video as a collection of video clips of fixed size, specified by frames_per_clip , ...

Original dataset used for human action recognition in videos, provided by the Center for Research in Computer Vision at the University of Central Florida. For ...

This work introduces UCF101 which is currently the largest dataset of human actions and provides baseline action recognition results on this new dataset.