Defect Detection Dataset for Industrial Quality Control

A dataset for defect detection, likely containing images for identifying flaws in products or materials. It was published on huggingface by author Paulescu and was last updated on 2026-04-04. The specific content, scale, and source of the images require verification after download.

Use Cases

• Train an image classifier to identify product defects (inferred from domain, verify after download)
• Develop an object detection model to locate and categorize flaws (inferred from domain, verify after download)
• Benchmark anomaly detection algorithms for industrial inspection (inferred from domain, verify after download)

Strengths

• Published on the huggingface platform, facilitating easy access and integration.
• Last updated on 2026-04-04 20:30:33, indicating recent maintenance.

Limitations

• Metadata is minimal; actual content, scale, and column definitions require verification after download.
• Row count, file formats, and license information are unknown, which limits suitability assessment.

Provenance

Source

huggingface

Collection Method

Uploaded by author Paulescu; specific collection method is unknown.

Time Range

null

Freshness

Last updated 2026-04-04 20:30:33

Geography

null