Size measurement of blasted rock fragments based on FRRSnet+

•FRRSnet+, a novel network for segmenting rocks and backgrounds in image, which mainly features high segmentation accuracy and small model size.•The proposed deep learning-based blasted pile rock image segmentation method can significantly improve the segmentation accuracy.•Compared with the skip architecture, identity mapping can increase the performance of the model.•Adding ASPP based on identity mapping can significantly improve the edge identification ability of the model.