MVII_metal_datasets|金属表面缺陷检测数据集|图像识别数据集
收藏MVII金属表面缺陷数据集概述
📌 数据集概览
- 提供方:机器视觉与工业检测实验室(MVII Lab)
- 包含两个具有实例级像素标注的金属表面缺陷数据集:连铸坯数据集和钢管数据集
🗃️ 数据集详情
1. 连铸坯数据集(Casting Billet Dataset)
- 图像数量:1,060张(其中780张有缺陷)
- 分辨率范围:96×106至3,228×492像素
- 缺陷类型:
- 划痕(Scratch)
- 焊渣(Weld slag)
- 切割开口(Cutting opening)
- 水渣痕(Water slag mark)
- 渣皮(Slag skin)
- 纵向裂纹(Longitudinal crack)
2. 钢管数据集(Steel Pipe Dataset)
- 图像数量:1,227张(其中554张有缺陷)
- 固定分辨率:728×544像素
- 缺陷类型:
- 弯曲(Warp)
- 外折(External fold)
- 皱纹(Wrinkle)
- 划痕(Scratch)
✏️ 标注流程
-
AI预分割
使用SAM预测接口进行批量自动分割,基于提供的边界框标注和图像生成初始掩码 -
专家精修
- 识别次优分割结果
- 交互式精修:
- 添加正样本点引导目标区域识别
- 添加负样本点排除干扰区域
- 后处理:
- 基于最优阈值进行分割
- 应用形态学操作(开运算和闭运算)平滑边缘、消除噪声、填充孔洞等
📥 下载信息
- 下载链接:https://pan.baidu.com/s/1uYLvkAdRHw3TKjiJIHuO1A?pwd=uk4f
📧 联系方式
- 数据集咨询或合作机会:
xuke@ustb.edu.cn
chuniliu@xs.ustb.edu.cn

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