52 datasets found

The dataset used in this paper is a collection of 28 industrial requirements documents covering diverse application domains.

The dataset used for testing the proposed model for video-based cardiac measurement.

The dataset used for training and testing the proposed model for video-based cardiac measurement.

A video dataset of 69 instance-level attributes for 8 classes of complex social group activity videos.

The dataset used for this investigation comes from a set of usability studies conducted by Pulse Labs AI. The dataset contains 209, 183, and 214 instances of names, phone...

This paper proposes a method for action search in videos, which is used for spotting actions in videos.

The dataset used in the paper is the 50 Salads dataset, which contains 50 videos showing people preparing salads. The dataset is used for dense action forecasting, and the...

The Breakfast dataset is another dataset used in the paper, which contains 712 videos of people performing various activities, such as making coffee or scrambling eggs. The...

A composite dataset consisting of positive- and negative- examples of billboard detection.

AViD is a new public video dataset for action recognition, containing action videos from diverse countries.

A dataset of videos of human activities captured by calibrated cameras.

The Collective Activities dataset consists of 44 videos taken in unconstrained real-world scenarios of people performing 6 individual actions across 5 group activities.

The THUMOS'13 dataset contains 24 classes and 3,207 videos.

The JHMDB dataset contains a varying number of actions (21 in JHMDB) across different domains (sports and daily activities).

The UCF Sports dataset contains a varying number of actions (10 in UCF Sports, 21 in JHMDB, and 24 in THUMOS’13) across different domains (sports and daily activities).

A dataset for deepfake detection challenge.

A compact facial video forgery detection network for detecting manipulated faces in videos.

The dataset is used for learning general and effective models for both audio and video analysis from self-supervised temporal synchronization.

The Sherlock dataset contains 103K images collected from the Visual Genome and Visual Common Sense Reasoning datasets. These images are split into 90K training, 6.6K validation,...

The dataset used in the paper to evaluate static bias in action representations.