The project applies a pretrained Mask R-CNN model from the Matterport implementation to automatically identify and blur or block specified object classes in images. Users can block any of 80 COCO-defined object types (people, vehicles, animals) by specifying them via command-line flags. The script outputs both a static image and an animated GIF showing the masking effect. No GPU is required as inference runs on CPU.