Industrial Screw Defect Images with Polygon Annotations

An industrial screw inspection dataset designed for computer vision tasks. It contains polygon annotations formatted for use with YOLOv8 and YOLOv11 segmentation models. The dataset's author, organization, and scale are unspecified.

Use Cases

• Training instance segmentation models based on polygon annotations for screw defect detection.
• Benchmarking YOLOv8 and YOLOv11-seg model performance on industrial inspection tasks.
• Developing automated visual inspection systems for manufacturing assembly lines.

Strengths

• Annotations are provided as polygons, which offer precise object boundaries for segmentation.
• Data is specifically formatted for popular object detection frameworks like YOLOv8 and YOLOv11-seg.

Limitations

• Row count, file size, and number of images are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle