UniDataPro/web-camera-people-behavior

Web Camera People Behavior Dataset for computer vision tasks

Dataset includes 2,300+ individuals, contributing to a total of 53,800+ videos and 9,300+ images captured via webcams. It is designed to study social interactions and behaviors in various remote meetings, including video calls, video conferencing, and online meetings.

By leveraging this dataset, developers and researchers can enhance their understanding of human behavior in digital communication settings, contributing to advancements in technology and software designed for remote collaboration. - Get the data

Metadata for the dataset

Dataset boasts an impressive >97% accuracy in action recognition (including actions such as sitting, typing, and gesturing) and ≥97% precision in action labeling, making it a highly reliable resource for studying human behavior in webcam settings.

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Researchers can utilize this dataset to explore the impacts of web cameras on social and professional interactions, as well as to study the security features and audio quality associated with video streams. The dataset is particularly valuable for examining the nuances of remote working and the challenges faced during video conferences, including issues related to video quality and camera usage.

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