| # DeepFashion | |
| <!-- [DATASET] --> | |
| [MMFashion](https://github.com/open-mmlab/mmfashion) develops "fashion parsing and segmentation" module | |
| based on the dataset | |
| [DeepFashion-Inshop](https://drive.google.com/drive/folders/0B7EVK8r0v71pVDZFQXRsMDZCX1E?usp=sharing). | |
| Its annotation follows COCO style. | |
| To use it, you need to first download the data. Note that we only use "img_highres" in this task. | |
| The file tree should be like this: | |
| ```sh | |
| mmdetection | |
| ├── mmdet | |
| ├── tools | |
| ├── configs | |
| ├── data | |
| │ ├── DeepFashion | |
| │ │ ├── In-shop | |
| │ │ ├── Anno | |
| │ │ │ ├── segmentation | |
| │ │ │ | ├── DeepFashion_segmentation_train.json | |
| │ │ │ | ├── DeepFashion_segmentation_query.json | |
| │ │ │ | ├── DeepFashion_segmentation_gallery.json | |
| │ │ │ ├── list_bbox_inshop.txt | |
| │ │ │ ├── list_description_inshop.json | |
| │ │ │ ├── list_item_inshop.txt | |
| │ │ │ └── list_landmarks_inshop.txt | |
| │ │ ├── Eval | |
| │ │ │ └── list_eval_partition.txt | |
| │ │ ├── Img | |
| │ │ │ ├── img | |
| │ │ │ │ ├──XXX.jpg | |
| │ │ │ ├── img_highres | |
| │ │ │ └── ├──XXX.jpg | |
| ``` | |
| After that you can train the Mask RCNN r50 on DeepFashion-In-shop dataset by launching training with the `mask_rcnn_r50_fpn_1x.py` config | |
| or creating your own config file. | |
| ``` | |
| @inproceedings{liuLQWTcvpr16DeepFashion, | |
| author = {Liu, Ziwei and Luo, Ping and Qiu, Shi and Wang, Xiaogang and Tang, Xiaoou}, | |
| 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} | |
| } | |
| ``` | |
| ## Model Zoo | |
| | Backbone | Model type | Dataset | bbox detection Average Precision | segmentation Average Precision | Config | Download (Google) | | |
| | :---------: | :----------: | :-----------------: | :--------------------------------: | :----------------------------: | :---------:| :-------------------------: | | |
| | ResNet50 | Mask RCNN | DeepFashion-In-shop | 0.599 | 0.584 |[config](https://github.com/open-mmlab/mmdetection/blob/master/configs/deepfashion/mask_rcnn_r50_fpn_15e_deepfashion.py)| [model](https://drive.google.com/open?id=1q6zF7J6Gb-FFgM87oIORIt6uBozaXp5r) | [log](https://drive.google.com/file/d/1qTK4Dr4FFLa9fkdI6UVko408gkrfTRLP/view?usp=sharing) | | |