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- # 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://download.openmmlab.com/mmdetection/v2.0/deepfashion/mask_rcnn_r50_fpn_15e_deepfashion/mask_rcnn_r50_fpn_15e_deepfashion_20200329_192752.pth) | [log](https://download.openmmlab.com/mmdetection/v2.0/deepfashion/mask_rcnn_r50_fpn_15e_deepfashion/20200329_192752.log.json) |
|
