南兴装备板材加工的缺陷数据模型库

本数据是通过2000多张图片，共标记有15000多处缺陷的数据，通过推理后生成的开放神经网络交换ONNX格式数据模型库。使用YOLO等视觉识别插件或软件，加载此缺陷模型库可以对板材加工缺陷的进行推理识别，特别是与已标记录入的缺陷类似的，可以快速准确的识别。

This dataset is an open model library formatted in the Open Neural Network Exchange (ONNX) standard, which is generated through inference based on over 2000 images with more than 15,000 annotated defects. When loaded into visual recognition plugins or software such as YOLO, this defect model library can be used to perform inference and defect detection for sheet processing defects, particularly those that match the pre-annotated defect samples, enabling fast and accurate recognition.

搜集汇总

背景与挑战

背景概述

该数据集是一个基于2000多张图片和15000多处缺陷标记生成的ONNX格式数据模型库，主要用于板式家具生产中的缺陷检测。数据集由南兴装备股份有限公司登记，适用于视觉识别和缺陷检测场景。