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Fashion Detection in the Wild (Deep Clothes Detector)
| Date | Stars |
|---|---|
| 2026-07-24 | 494 |
| 2026-07-25 | 494 |
| 2026-07-28 | 494 |
| 2026-07-30 | 494 |
| 2026-08-06 | 494 |
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## Fashion Detection in the Wild (Deep Clothes Detector)
[[Project]](http://personal.ie.cuhk.edu.hk/~lz013/projects/DeepFashion.html) [[Paper]](http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)
<img src='./misc/demo.gif' width=360>
## Overview
`Deep Clothes Detector` is a clothes detection framework based on [Fast R-CNN](https://github.com/rbgirshick/fast-rcnn). Given a fashion image, this software finds and localizes potential *upper-body clothes*, *lower-body clothes* and *full-body clothes* in it, respectively.
<img src='./misc/demo_teaser.jpg' width=800>
Further information please contact [Tingwu Wang](http://www.cs.toronto.edu/~tingwuwang/) and [Ziwei Liu](https://liuziwei7.github.io/).
## Requirements
* [Fast R-CNN](https://github.com/rbgirshick/fast-rcnn)
* [EdgeBox](https://github.com/pdollar/edges)
* [Piotr's Computer Vision Toolbox](https://github.com/pdollar/toolbox)
## Getting started
* Install and compile the [Fast R-CNN](https://github.com/rbgirshick/fast-rcnn), [EdgeBox](https://github.com/pdollar/edges) and [Piotr's Computer Vision Toolbox](https://github.com/pdollar/toolbox) libraries.
* Download the pre-trained model [fashion_detector.caffemodel](https://drive.google.com/file/d/0B7EVK8r0v71pUlZjeGZuNWZLaFU/view?usp=sharing&resourcekey=0-JolmdxQ_-MhjZBWA65NcKg):
``` bash
Place "fashion_detector.caffemodel" into "./models/"
```
* Run the testing script:
``` bash
matlab ./demo.m
```
## Dataset
[Large-scale Fashion (DeepFashion) Database](http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html)
## License and Citation
The use of this software is RESTRICTED to **non-commercial research and educational purposes**.
```
@inproceedings{liu2016deepfashion,
author = {Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang},
title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations},
booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
```
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:de76f0f54941b4ae, topic:computer-vision, readme:computer vision
matched fp:de76f0f54941b4ae, topic:deep-learning