Mask R-CNN is a deep learning model for instance segmentation. It extends Faster R-CNN by adding a branch for predicting segmentation masks on each Region of Interest (RoI), in parallel with the existing bounding box recognition and classification branches. It is commonly used for object detection, segmentation, and pose estimation tasks, enabling pixel-level understanding of images.
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