基于复杂产品表面缺陷精准检测的航空发动机叶片缺陷检测数据集

基于复杂产品表面缺陷精准检测的航空发动机叶片缺陷检测数据集主要服务于基于视觉感知的复杂外形产品表面缺陷检测理论方法研究与应用，针对航空发动机叶片缺陷检测的实际需求建设。数据集的原始数据来源于航空发动机生产线叶片的全覆盖采集图像，完整记录了叶片缺陷与无缺陷两类状态的样本信息，数据总量为32.28G。

This aero-engine blade defect detection dataset is developed to address the practical requirements of aero-engine blade defect detection, and primarily supports theoretical research and practical applications of visual perception-based surface defect detection methods for complex-shaped products. The original data of the dataset is sourced from full-coverage captured images of blades collected from aero-engine production lines, which comprehensively records sample information for two categories: defect-bearing and defect-free blade samples. The total size of the dataset is 32.28 GB.

搜集汇总

背景与挑战

背景概述

该数据集专为基于视觉感知的复杂外形产品表面缺陷检测理论方法研究与应用而设计，旨在满足航空发动机叶片缺陷检测的实际需求。数据集源自航空发动机生产线叶片的全覆盖采集图像，完整包含了叶片缺陷和无缺陷两类状态的样本，总数据量为32.28GB。