A dataset of normalized human pose features intended for threat detection applications. It was created for use with the YOLOv8 keypoint detection model. The dataset's size, creator, and update history are not specified.
Use Cases
- Train threat detection models based on normalized human pose features.
- Benchmark YOLOv8 keypoint models for security applications.
- Analyze human posture patterns for anomaly detection.
Strengths
- Data is normalized, which likely aids model training stability.
- Designed specifically for a modern object detection framework (YOLOv8).
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.