48 datasets found

The Epic-Kitchens-100 dataset contains 97 verb and 300 noun classes with actions defined by the combination of nouns and verbs.

The Something-Something-V1 and V2 dataset contains 174 human action categories with 108K and 220K videos.

The authors used the UCF101, HMDB51, and Diving48 datasets to evaluate the performance of their proposed algorithm.

The Human Action Recognition dataset is used for human action recognition tasks.

Human perception of surroundings is often guided by the various poses present within the environment. Many computer vision tasks, such as human action recognition and robot...

The dataset used in this paper is K400, a dataset for human action recognition.

The dataset used in this paper is SSv2, a dataset for human action recognition.

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...

Mini-Kinetics-200: A dataset of 200 human action classes from videos in the wild.

The HMDB51 dataset is a large-scale video dataset for human action recognition.

The UCF-101 dataset is a large-scale video dataset for human action recognition.

The Kinetics dataset is a large-scale video dataset for human action recognition.

The DHA database is orgnized with 483 depth video sequences for 23 actions.

The UTD-MHAD is consists of 861 samples of 8 subjects. There are 27 actions in total, and every subject performed each action 4 times.

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....

A video dataset of 51 human actions classes.

The AVA-Kinetics dataset is a video dataset of localized human actions.

UCF-101: A dataset of 101 human actions classes from videos in the wild.

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...