This repository reproduces the Mask R-CNN paper by Kaiming He et al., implementing a deep learning model for object detection and instance segmentation. It uses TensorFlow as the framework, ResNet50 as the backbone feature extractor, and Feature Pyramid Network for multi-scale feature fusion. The implementation includes ROIAlign operations, anchor generation, and a mask prediction head, and is designed to train on the COCO dataset.