Mask R-CNN is an extension of Faster R-CNN that adds a branch for predicting object masks in addition to bounding boxes and class labels. It is used for instance segmentation, which aims to segment each individual object instance in an image. Mask R-CNN has applications in autonomous driving for accurately identifying and segmenting different vehicles and pedestrians, as well as in wildlife monitoring for counting and tracking individual animals. Its ability to provide detailed object masks makes it a powerful tool in computer vision for tasks that require fine-grained object understanding.
