Mask R-CNN

Mask R-CNN is a computer vision method that enables machines to identify and understand objects within images. It not only detects where objects are located, like drawing boxes around them, but also creates detailed pixel-level masks that show the exact shape of each object. This is achieved by extending a previous system called Faster R-CNN, adding a branch that predicts the shapes of objects. Mask R-CNN is widely used for tasks such as image segmentation, autonomous driving, and medical imaging, providing precise and detailed understanding of images by combining object detection and pixel-level recognition.