18 datasets found

The LRW dataset is an English language lip reading dataset, containing 500 different words, each spoken by over 1,000 persons.

The Slovo dataset is a video dataset of Russian Sign Language (RSL) containing 20,000 FullHD videos from 194 signers, divided into 1,000 classes of glosses from the RSL without...

The XD-Violence dataset is a large-scale multimodal video dataset for violence detection. It consists of 4,754 untrimmed videos with a total duration of 217 hours, covering six...

The CelebV-HQ dataset contains 35,666 face videos from over 15,000 identities.

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

The HMDB51 dataset is a video dataset for human action recognition. It contains 6,767 videos annotated with 51 categories of human actions.

RWTH-PHOENIX-Weather-2014 (PHOENIX14)

RWTH-PHOENIX-2014-Weather-T (PHOENIX14-T)

A food image dataset including still images and videos of fast foods.

The EmotiW dataset contains videos of 78 students in online classroom setting.

The DAiSEE dataset contains 9,068 videos captured from 112 students in online courses.

The HumanEva-I dataset is a dataset for 3D human pose estimation, containing video sequences of four subjects performing six common actions.

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.

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...

MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A...