48 datasets found

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.

Kinetics-700 is a large-scale video dataset for human action recognition, with 700 action categories.

The dataset used for video action classification, consisting of 9.8k training videos, 1.8k validation videos, and 157 classes.

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

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

The dataset used in this paper is a collection of videos for various tasks such as video recognition and action recognition.

The dataset is a collection of skeleton sequences of human actions recorded in a theatre scene environment.