11 datasets found

The HMDB51 dataset is a video dataset for human action recognition. It contains 6,767 videos annotated with 51 categories of human actions.

The Kinetics-700 dataset is a large-scale video dataset for human action recognition. It contains 555,774 videos annotated with 700 categories of human actions.

The dataset used in the paper for self-supervised learning of video representations.

UCF-101 dataset is a large-scale action recognition dataset, containing 13,320 videos categorized into 101 human action categories.

The Kinetics-600 dataset consists of 392k training videos and 30k validation videos in 600 human action categories.

Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming....

Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming....

The UCF101 dataset contains 13320 videos distributed in 101 action categories. This dataset is different from the above ones in that it contains mostly coarse sports activities...

Video classification is a fundamental problem in many video-based tasks. Applications such as autonomous driving technology, controlling drones and robots are driving the demand...

The Kinetics dataset is a large-scale human action dataset, which consists of 400 action classes where each category has more than 400 videos.

UCF101 dataset is used to test the proposed text-to-video model. The dataset contains 101 action categories, and each category has 10 videos. The videos are labeled with text...