This repository provides an MXNet implementation of Mask R-CNN, a deep learning model that performs object detection and instance segmentation simultaneously. The implementation includes training code, custom ROIAlign operators, and benchmarks on the Cityscapes dataset showing results around 26.9 mAP on test set. Users need to build MXNet from source with custom operators and prepare the Cityscapes dataset to train the model.