纽扣电池表面与正极环缺陷检测数据集

本数据集用于实现两类组件的自动化缺陷检测，纽扣电池检测通过识别缺料区域，预防电解液泄漏，减少返工损失，脏污分级管理提升产品洁净度标准。正极环检测： 控制毛刺分割精度，实时反馈模具磨损状态，减少模具意外停机；模印特征分析优化冲压工艺参数，降低废品率。

This dataset is designed for automated defect detection of two types of components. For button cell detection, it identifies material-deficient regions to prevent electrolyte leakage and reduce rework losses, while implementing contamination grading management to elevate product cleanliness standards. For positive electrode ring detection, it controls the segmentation precision of burrs, provides real-time feedback on mold wear conditions to reduce unexpected mold downtime, and analyzes stamping imprint features to optimize stamping process parameters and lower the scrap rate.

搜集汇总

背景与挑战

背景概述

该数据集包含纽扣电池表面和正极环的多种缺陷图像，如缺料、压伤和脏污等，来源于生产线工业相机采集的高分辨率图像并通过语义分割模型处理。主要用于自动化缺陷检测、工艺优化和缺陷根因分析，以提升电池组件质量检测效率和精度。