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clothing-detection

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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.

  • Updated Feb 26, 2026
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