Human Pose Recognition Sample with Indoor and Outdoor Scenes

A sample of 10,000 people for human pose recognition. It includes indoor and outdoor scenes, covering males and females with an age distribution from teenager to elderly, where middle-aged and young people are the majority.

Use Cases

• Train pose estimation models on data featuring different shooting heights and light conditions.
• Analyze pose recognition performance across age groups from teenager to elderly.
• Develop models robust to diverse scenes by leveraging both indoor and outdoor video data.

Strengths

• Contains a sample of 10,000 people.
• Includes data diversity such as different shooting heights, ages, and light conditions.
• Covers both indoor and outdoor scenes.

Limitations

• Only a sample of a larger paid dataset, limiting full scope.
• Specific column structure, file formats, and video specifications are unknown.
• Geographic and temporal coverage details are not provided.

Provenance

Source

Nexdata on Hugging Face.

Collection Method

Collection method not specified in provided description.

Freshness

Last updated on 2025-04-24.

Geography

Region tag indicates 'us', but specific spatial coverage is unknown.