Garment Condition Spots for Defect Detection in Jackets, Trousers, and T-Shirts

Wargön Innovation developed this image dataset within the CISUTAC and Innovationsmiljö för hållbar produktion och cirkulära flöden projects. The dataset focuses on detecting spots and discoloration in post-consumer jackets, trousers, and T-shirts. It is intended to support the development and evaluation of automated computer vision methods for garment condition assessment.

Use Cases

• Train object detection models to identify spots and discoloration on garments.
• Benchmark image classification algorithms for defect severity assessment.
• Develop automated sorting systems for post-consumer textiles based on visual condition.
• Evaluate model performance on specific garment types like jackets, trousers, and T-shirts.

Strengths

• Dataset is developed within two named research projects (CISUTAC and Innovationsmiljö för hållbar produktion och cirkulära flöden).
• Focuses on a specific, practical application: defect detection for post-consumer garment recycling.
• Targets three defined garment types: jackets, trousers, and T-shirts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Dataset size and file formats are unspecified.

Provenance

Source

Wargön Innovation

Collection Method

Likely contains images of post-consumer garments collected for defect detection research.

Time Range

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Freshness

Last updated 2026-04-10 12:11:07; freshness should be verified.

Geography

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