24 datasets found

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.

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...