Mask R-CNN is a deep learning model that extends Faster R-CNN, a popular object detection algorithm, to enable instance segmentation. It allows for the identification and segmentation of individual objects within an image by generating a binary mask for each detected object while simultaneously providing bounding boxes and class labels. This capability makes Mask R-CNN essential for tasks requiring detailed understanding of images, such as in computer vision applications like autonomous driving, medical imaging, and video analysis.
congrats on reading the definition of mask r-cnn. now let's actually learn it.