UniDataPro/scene-scanning-video

Environment Scanning Dataset

The dataset comprises 10,000 videos capturing humans performing natural human activity by scanning their surroundings in controlled settings. It features individuals interacting with various objects and natural environments, providing rich environmental scans for research applications.

By utilizing this data, researchers can identify areas for improving detection and recognition algorithms, including face detection, face recognition, and object detection systems. - Get the data

This dataset contains information essential for computer vision and object detection research projects. The data contained in these files includes detailed metadata annotations - such as environmental context, camera motion patterns, participant count, gender, duration, and multiple resolutions.

Frequently Asked Questions

What is this scene scanning video dataset used for?

This scene scanning dataset is designed for training and evaluating AI models for face detection, face recognition, action recognition, pose estimation, and computer vision. The videos capture natural head and gaze movements as people scan their surroundings, making the dataset useful for developing systems that analyze human behavior and visual attention in realistic scenarios.

How was the data collected?

The videos were captured using digital cameras in controlled, simulated environments.

What are the video specifications?

All recordings are provided in MP4 format with a resolution of 1920 × 1080 pixels at 30 FPS. The average video duration is approximately 18 seconds, offering sufficient temporal information for models that analyze movement, facial appearance, and behavioral patterns over time.

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Researchers can utilize these data sets for analyzing data related to human-object interactions captured across diverse scenarios.

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