Video

This dataset focuses on action recognition and path analysis in welding operations, providing diverse video data to support research and applications.

This dataset is used to identify and analyze shockwave events caused by explosions within factory premises.

The Dental Treatment Process Action Recognition Dataset is used to improve the accuracy and efficiency of dental treatment action recognition.

This dataset is used to identify abnormal searching behaviors in home environments to enhance the effectiveness of security surveillance.

This dataset is dedicated to recognizing sudden falls of the elderly in non-exercise situations, applicable to various scenarios.

This dataset aims to recognize the usage of safety belts by workers during high-altitude operations.

This dataset focuses on the detection and analysis of bicycle collisions with guardrails, supporting traffic safety research.

The street dance action estimation video dataset is dedicated to improving the accuracy of dance action recognition and estimation.

The Graphical User Interface (GUI) dataset focuses on interaction videos with smart devices.

This dataset focuses on monitoring abnormal behavior of suspicious individuals in non-open areas.

This dataset is used to predict crowd congestion situations during dismissals of large gatherings.

This dataset monitors the consistency of actions in standard assembly steps, aiming to enhance industrial automation levels.

This dataset is used to identify irregular vibrations, abnormal sounds, jumps, and other precursor behaviors of faults during the operation of fans.

The Creative Design Studio Interaction Body Language Recognition Video Dataset assists researchers in analyzing non-verbal communication among team members.

This dataset provides video data of conveyor belt operation anomalies to help identify fault issues.

This dataset is used to identify suspicious repeated glancing actions in surveillance scenes to enhance security monitoring effectiveness.

This dataset is used to detect whether passengers or drivers check the blind spot before opening the door, enhancing traffic safety.

The hospital corridor personnel density estimation dataset is used to improve the accuracy of density estimation models.

This dataset focuses on the automatic recognition of fighting and brawling behaviors to enhance security surveillance efficiency.

The Gesture Recognition Video Dataset aims to enhance the accuracy and responsiveness of security protection systems.