An open dataset for intelligent recognition and classification of abnormal condition in longwall mining

This work developed image dataset of underground longwall mining face (DsLMF+), which consists of 138004 images with annotation 6 categories of mine personnel, hydraulic support guard plate, large coal, towline, miners’ behaviour and mine safety helmet. All the labels of dataset are publicly available in YOLO format and COCO format.The dataset aims to support further research and advancement of the intelligent identification and classification of abnormal conditions for underground mining.

AI搜集汇总

背景与挑战

背景概述

该数据集是一个用于长壁采矿异常条件智能识别与分类的开放图像数据集（DsLMF+），包含138,004张图像，标注了矿工、液压支架护板、大块煤等6个类别，标签以YOLO和COCO格式提供。它旨在支持地下采矿场景的计算机视觉研究，促进异常检测算法的开发，发布于2024年，文件大小为22.74 GB，采用CC0许可。