five

steel defect detection dataset

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DataCite Commons2025-03-07 更新2025-04-16 收录
下载链接:
https://ieee-dataport.org/documents/steel-defect-detection-dataset
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资源简介:
The NEU-DET dataset is a publicly available dataset for detecting surface defects on hot-rolled steel strips. It was released by Northeastern University and contains 1800 grayscale images categorized into six defect types: crazing (Cr), rolled-in scale (Rs), patches (Pa), pitted surface (Ps), inclusion (In), and scratches (Sc). Each category includes 300 images.
提供机构:
IEEE DataPort
创建时间:
2025-03-07
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