Video

The Religious Ceremony Type Recognition Dataset provides a wealth of video material to support linguistic and cultural research.

The video dataset for recognizing family dining behaviors and social interaction patterns helps analyze and improve family interactions in daily life.

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

This dataset is used to recognize the grasping path, posture, and gripping actions of a robotic arm on objects.

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

This dataset is an effective tool for enhancing the analysis of physical activity behaviors and rehabilitation outcomes in the medical and health field.

The washing machine work state recognition video dataset is used for developing smart home solutions to improve the accuracy of work state recognition.

This dataset provides video trajectories of cleaning robots in various environments to support intelligent navigation and planning research.

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

This dataset is used for identifying parking or slow-moving behaviors in tunnels.

This dataset monitors prolonged congestion or gathering of people in the underground garage due to queuing, payment, charging, and other reasons.

This dataset contains video samples for detecting foreign object suspension on transmission lines, aiding in power inspection automation.

This dataset contains video data of motor vehicle and non-motor vehicle collision events aimed at enhancing traffic safety monitoring and accident prevention capabilities.

This dataset captures the hand instrument operations and trajectories of dentists during dental surgery.

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

The Elderly Fall Detection Dataset focuses on monitoring elderly falls in the home environment to enhance family safety.

This dataset is used to detect stall and obstruction behaviors within transportation hub stations to improve traffic management efficiency.

This dataset is used for recognizing the action of people climbing over fences, applicable to various security scenarios.

This dataset aims to enhance the detection efficiency of rollover accidents on highway sections through video surveillance technology.

This dataset is specifically designed for detecting violation behaviors at crossroads to enhance the intelligence level of traffic safety monitoring.