A full implementation of clothing detection, instance segmentation, and classification using Mask R-CNN on the DeepFashion2 dataset. Features include detection of 13 clothing categories, individual item extraction, batch processing, and a Flask-based REST API. Optimized for GPUs with 4GB+ VRAM and pre-trained on COCO for fast transfer learning.

Implement clothing detection, segmentation, and classification using Mask R-CNN on the DeepFashion2 dataset for precise garment extraction.