新能源汽车天幕玻璃表面缺陷AI分割模型训练数据集

数据集包含天幕玻璃缺陷区域图像，来自多块实际使用的新能源汽车天幕玻璃样本。样本中存在典型缺陷，包括刮伤、裂纹、气泡、浮渣等。数据集对每块样本进行了精细边界框标注。考虑到玻璃特性，采用了标准化面光源背光拍摄。

The dataset comprises images of defect areas on automotive panoramic roof glass, sourced from multiple samples of such glass taken from real-world operational new energy vehicles. These samples exhibit typical defects including scratches, cracks, air bubbles, and dross. Precise bounding box annotations are provided for each glass sample in the dataset. Considering the material properties of glass, all images were captured using standardized surface light source backlighting.

搜集汇总

数据集介绍

特点

该数据集包含新能源汽车天幕玻璃的缺陷图像，用于AI分割模型训练，旨在提高玻璃缺陷检测的效率和精度。