工业产品质量检测图像数据集

本数据集为工业产品质量检测图像集，覆盖金属冲压件、注塑件、电子元器件、玻璃/陶瓷、纺织品等多类产品，包含划痕、裂纹、脏污、缺料、飞边、气泡等典型缺陷以及正常样本。提供标准格式的目标检测标注（边界框及类别标签）。适用于工业缺陷检测模型训练、AOI算法验证、异常检测研究等。This dataset is an industrial product quality inspection image collection covering multiple product categories including metal stamping parts, injection molded parts, electronic components, glass/ceramics, textiles and others. It includes both normal samples and typical defects such as scratches, cracks, contamination, material shortage, flash, and air bubbles. Standard-format object detection annotations (bounding boxes and category labels) are provided. This dataset is applicable to industrial defect detection model training, AOI algorithm verification, anomaly detection research and other related applications.

搜集汇总

背景与挑战

背景概述

该数据集为工业产品质量检测图像集，涵盖金属冲压件、注塑件、电子元器件、玻璃/陶瓷、纺织品等多类产品，包含划痕、裂纹、脏污等典型缺陷以及正常样本，并提供标准格式的目标检测标注。它适用于工业缺陷检测模型训练、AOI算法验证和异常检测研究等应用场景。