132 datasets found

The dataset used in the paper is MSR-VTT, a large video description dataset for bridging video and language. The dataset contains 10k video clips with length varying from 10 to...

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...

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

Youtube-8M is a large-scale video classification benchmark.

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 is used for temporal action detection with structured segment networks.

The dataset is used for temporal action localization in untrimmed videos.

The dataset is used for action recognition with a large number of classes.

The ShanghaiTech dataset includes 330 training and 107 test videos recorded at 13 different background locations.