15 datasets found

Human action clips and segments dataset for recognition and temporal localization

The NTU-RGBD dataset is a large-scale dataset for 3D human activity analysis, containing 56,000 videos and 60 actions performed by 40 people from 80 different views.

THUMOS Challenge: Action Recognition with a Large Number of Classes.

The UCF-101 and HMDB-51 datasets are used for human action recognition.

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

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

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.

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 MSR-Action3D dataset has been first introduced with a depth-based approach, but its joint streams were widely used later as a reference for joint-based methods.

The dataset used in this paper is a Flickr image dataset, which is used to evaluate the proposed deep aesthetic feature learning framework.