板材表面缺陷高质量数据集

本项目为临沂科技职业学院板材缺陷AI检测平台数据集，已建立专业级木业垂类数据集，涵盖283G高质量板材缺陷图像，包含划痕、凹坑、脏污异物等10类典型缺陷。科学划分训练集与验证集，为模型训练提供充分样本支撑，确保算法精准识别各类表面缺陷。包括采集图像、xml文件和txt文件。

This dataset is developed for the wood panel defect AI detection platform project of Linyi Vocational College of Science and Technology. A professional vertical wood industry dataset has been constructed, which includes 283 GB of high-quality wood panel defect images covering 10 typical defect categories such as scratches, pits, stains and foreign impurities. The dataset is scientifically divided into training set and validation set, providing sufficient sample support for model training and enabling the algorithm to accurately identify various surface defects. The dataset contains collected images, XML files and TXT files.

搜集汇总

背景与挑战

背景概述

该数据集由临沂科技职业学院信息工程系构建，专为AI板材缺陷检测平台设计，包含283GB高质量图像，涵盖10类典型表面缺陷，并已划分为训练集和验证集，提供图像、XML和TXT文件支持。