Severstal Steel Defects: 18,074 Annotated Images for Industrial Quality Inspection

18,074 samples of steel surface imagery annotated for defect detection, curated by Voxel51 and hosted on Hugging Face. The dataset is designed for computer vision tasks in industrial manufacturing quality assurance. It was last updated on May 19, 2026.

Use Cases

• Train defect detection models based on annotated steel surface images.
• Benchmark computer vision algorithms for industrial quality inspection tasks.
• Develop segmentation models to identify and localize specific defect types on steel.
• Analyze patterns of manufacturing defects to improve production processes.

Strengths

• Contains 18,074 annotated samples, providing a substantial base for model training.
• Hosted on Hugging Face with integration for the FiftyOne visualization and analysis platform.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-05-19 17:47:44; freshness should be verified.

Provenance

Source

Voxel51 via Hugging Face.

Freshness

2026-05-19 17:47:44