8 datasets found

The dataset used for local anomaly detection in videos using object-centric adversarial learning.

A dataset of real videos for action categorization, including HMDB-51 and UCF-101.

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 Avenue data set consists of 16 training videos with a total 15328 frames and 21 test videos with a total of 15324.

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...

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

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