Drowsiness Driver Detection Dataset for YOLO

Ready annotated dataset for driver drowsiness detection, likely containing images for training object detection models. It is hosted on Kaggle and appears to be formatted for use with the YOLO framework. The specific scale, author, and update date are not provided.

Use Cases

• Train a YOLO-based object detector to locate drowsy drivers (inferred from domain, verify after download)
• Benchmark drowsiness detection algorithms on annotated image data (inferred from domain, verify after download)
• Develop in-vehicle safety systems that alert distracted or fatigued drivers (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with an active community for sharing ML datasets.
• The description states it is 'Ready Annotated', suggesting pre-processed labels for immediate use.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file size, and column details are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to its unspecified collection source and method.

Provenance

Source

kaggle