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.本研究构建了地下长壁采煤工作面图像数据集（DsLMF+），该数据集包含138004张图像，共标注6个类别，分别为煤矿作业人员、液压支护护板、大块煤炭、拖缆、矿工行为及矿用安全帽。该数据集的全部标注文件均以YOLO格式与COCO格式公开提供。本数据集旨在为地下采矿异常工况的智能识别与分类研究的进一步发展提供支撑。