27 datasets found

The Multi-Mice PartsTrack dataset is a challenging dataset for multi-mice part tracking in videos. It contains 10 videos of two or three mice interacting freely in a home cage...

A dataset for procedure learning from egocentric videos.

UCF Sports dataset consists of 150 videos from sport broadcasts covering 10 action categories.

The HMDB dataset consists of 6766 videos from 51 different action categories. The videos are generally of low quality, with strong camera motion, and non-centered people.

Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.

UCF is a dataset for face forgery detection, focusing on uncovering common features shared by different manipulation techniques.

A collection of datasets for visual question answering, including MovieQA, TVQA, AVSD, EQA, and Embodied QA.

A dataset of audio-driven talking head videos generated by four generative methods

SoccerNet is a dataset for action spotting in soccer videos, containing a large number of annotated videos.

SoccerNet-v2 is a large-scale dataset for action spotting in soccer videos, containing over 110K action labels.

The MPI-INF-3DHP dataset is a large-scale dataset for 3D human pose estimation in videos. It consists of 8 subjects performing 8 activities.

The Human3.6M dataset is a large-scale dataset for 3D human pose estimation in videos. It consists of 3.6 million frames captured by four 50 Hz cameras.

UCF-101 is a large-scale dataset of human actions in videos.

The dataset used in the paper for self-supervised learning of video representations.

The Kinetics dataset is a large-scale action recognition dataset. It contains videos of various actions performed by humans, with annotations of the actions performed.

CVBL video database for face recognition in videos

The dataset used in the FairFace Challenge at ECCV 2020 is a reannotated version of IJB-C [37] database enriched by newly collected 12,549 public domain images.

The Tunnel Try-on dataset is a collection of videos with product garment images.

The VVT dataset is a collection of product garment images and corresponding videos.

A video dataset for action recognition, consisting of 920 videos of 21 different actions.