Identification of maceral groups in Chinese bituminous coals based on semantic segmentation models

•It is the first time that semantic segmentation models based on deep learning are introduced to make a pixel-level identification of coal macerals.•The semantic segmentation method based on deep learning meet the accuracy requirements of quantitative analysis of coal macerals as the average pixel accuracy of macerals determined by DeepLab V3+ model is 92%.