DsLMF+: An open dataset for intelligent recognition of abnormal condition in underground longwall mining face

This work develops an 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.