Curved Concrete Surface Defects with Semantic Segmentation Labels

A dataset for semantic segmentation of defects on curved concrete surfaces. It contains fully segmented and labelled images for three defect types: cracks, spalling, and corrosion. The dataset was authored by Yuansheng Xu and last updated on April 10, 2026.

Use Cases

• Train semantic segmentation models based on labelled defect types (cracks, spalling, corrosion)
• Benchmark defect detection algorithms based on images of curved concrete surfaces
• Study defect morphology and patterns based on annotated visual data

Strengths

• All defects are fully segmented and labelled, providing precise annotations
• Focuses on curved concrete surfaces, a specific and challenging structural context
• Includes three distinct defect types (cracks, spalling, corrosion) for multi-class segmentation

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Yuansheng Xu

Freshness

Last updated 2026-04-10 07:44:04