Tennis Pose Estimation Data in COCO Format

A dataset for pose estimation tasks, likely containing images of tennis players annotated with keypoints. The data appears to be structured according to the Common Objects in Context (COCO) annotation format. It was published on Kaggle, but details on the author, organization, and specific temporal coverage are unknown.

Use Cases

• Train a pose estimation model to detect tennis player keypoints (inferred from domain, verify after download)
• Benchmark model performance on sports-specific pose data (inferred from domain, verify after download)
• Fine-tune a general-purpose pose model for athletic movements (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing infrastructure.
• Uses the COCO format, a widely-adopted standard for object detection and pose estimation tasks.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle