Deep Clothes Detector is a computer vision system based on Fast R-CNN that detects and localizes clothing items in wild fashion images. The model identifies three categories of garments: upper-body clothes, lower-body clothes, and full-body clothes. It operates on the DeepFashion database and requires pre-trained Caffe models for inference. The implementation is in MATLAB and builds on established object detection libraries.