Opera Teaching Posture Recognition Dataset with Annotated Keypoints

An annotated keypoint-based dataset for opera posture recognition. The dataset contains diverse motion patterns for teaching and analysis purposes. It was sourced from Kaggle, but specific authorship, size, and update details are unknown.

Use Cases

• Train posture recognition models based on annotated keypoints.
• Analyze diverse motion patterns for opera performance teaching.
• Develop educational tools for opera posture correction and training.

Strengths

• Dataset is annotated with keypoints, providing structured labels for machine learning.
• Contains diverse motion patterns, which may improve model generalization.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Annotated keypoint collection; specific gathering method unknown.

Time Range

unknown

Freshness

unknown

Geography

unknown