liuziwei7/fashion-detection
A clothes detection framework using Fast R-CNN that locates upper-body, lower-body, and full-body garments in fashion images.
Not currently ranked — collecting fresh signals.
star history
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.
Frequently asked
- What is liuziwei7/fashion-detection?
- A clothes detection framework using Fast R-CNN that locates upper-body, lower-body, and full-body garments in fashion images.
- Is fashion-detection open source?
- Yes — liuziwei7/fashion-detection is an open-source project tracked on heatdrop.
- What language is fashion-detection written in?
- liuziwei7/fashion-detection is primarily written in MATLAB.
- How popular is fashion-detection?
- liuziwei7/fashion-detection has 495 stars on GitHub.
- Where can I find fashion-detection?
- liuziwei7/fashion-detection is on GitHub at https://github.com/liuziwei7/fashion-detection.