79 datasets found

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

Deepfakes have become a critical social problem, and detecting them is of utmost importance. The FaceForensics++ dataset offers fake video datasets. Most of the detection...

A video dataset for frame duplication detection and localization in forged videos

The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.

Violence detection is a section of general action recognition task which specifically focuses on detecting aggressive human behaviors such as fighting, robbery, rioting, etc.

Human activity recognition is a widely investigated problem in the field of computer vision that has diverse applications in human-computer interaction, robotics, surveillance,...

Automatically detecting violence from surveillance footage is a subset of activity recognition that deserves special attention because of its wide applicability in unmanned...

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.

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 used in this paper is a collection of videos for various tasks such as video recognition and action recognition.

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.

Temporal activity detection has drawn increasing interests in both academic and industry communities due to its vast potential applications in security surveillance, behavior...

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