mirror of https://github.com/open-mmlab/mmpose
143 lines
5.0 KiB
Markdown
143 lines
5.0 KiB
Markdown
# 2D Fashion Landmark Dataset
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It is recommended to symlink the dataset root to `$MMPOSE/data`.
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If your folder structure is different, you may need to change the corresponding paths in config files.
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MMPose supported datasets:
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- [DeepFashion](#deepfashion) \[ [Homepage](http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion/LandmarkDetection.html) \]
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- [DeepFashion2](#deepfashion2) \[ [Homepage](https://github.com/switchablenorms/DeepFashion2) \]
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## DeepFashion (Fashion Landmark Detection, FLD)
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2016/html/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.html">DeepFashion (CVPR'2016)</a></summary>
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```bibtex
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@inproceedings{liuLQWTcvpr16DeepFashion,
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author = {Liu, Ziwei and Luo, Ping and Qiu, Shi and Wang, Xiaogang and Tang, Xiaoou},
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title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations},
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booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2016}
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}
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```
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</details>
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-319-46475-6_15">DeepFashion (ECCV'2016)</a></summary>
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```bibtex
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@inproceedings{liuYLWTeccv16FashionLandmark,
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author = {Liu, Ziwei and Yan, Sijie and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
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title = {Fashion Landmark Detection in the Wild},
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booktitle = {European Conference on Computer Vision (ECCV)},
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month = {October},
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year = {2016}
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}
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```
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</details>
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<div align="center">
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<img src="https://user-images.githubusercontent.com/100993824/227774588-443fc5cc-7842-472a-abd5-827f0e3fd27f.png" height="150px">
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</div>
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For [DeepFashion](http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion/LandmarkDetection.html) dataset, images can be downloaded from [download](http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion/LandmarkDetection.html).
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Please download the annotation files from [fld_annotations](https://download.openmmlab.com/mmpose/datasets/fld_annotations.tar).
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Extract them under {MMPose}/data, and make them look like this:
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```text
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mmpose
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├── mmpose
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├── docs
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├── tests
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├── tools
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├── configs
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`── data
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│── fld
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│-- annotations
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│ │-- fld_upper_train.json
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│ |-- fld_upper_val.json
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│ |-- fld_upper_test.json
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│ │-- fld_lower_train.json
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│ |-- fld_lower_val.json
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│ |-- fld_lower_test.json
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│ │-- fld_full_train.json
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│ |-- fld_full_val.json
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│ |-- fld_full_test.json
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│-- img
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│ │-- img_00000001.jpg
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│ │-- img_00000002.jpg
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│ │-- img_00000003.jpg
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│ │-- img_00000004.jpg
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│ │-- img_00000005.jpg
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│ │-- ...
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```
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## DeepFashion2
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://arxiv.org/pdf/1901.07973.pdf">DeepFashion2 (CVPR'2019)</a></summary>
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```bibtex
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@article{DeepFashion2,
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author = {Yuying Ge and Ruimao Zhang and Lingyun Wu and Xiaogang Wang and Xiaoou Tang and Ping Luo},
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title={A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images},
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journal={CVPR},
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year={2019}
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}
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```
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</details>
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<!-- [DATASET] -->
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For [DeepFashion2](https://github.com/switchablenorms/DeepFashion2) dataset, images can be downloaded from [download](https://drive.google.com/drive/folders/125F48fsMBz2EF0Cpqk6aaHet5VH399Ok?usp=sharing).
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Please download the [annotation files](https://drive.google.com/file/d/1RM9l9EaB9ULRXhoCS72PkCXtJ4Cn4i6O/view?usp=share_link). These annotation files are converted by [deepfashion2_to_coco.py](https://github.com/switchablenorms/DeepFashion2/blob/master/evaluation/deepfashion2_to_coco.py).
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Extract them under {MMPose}/data, and make them look like this:
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```text
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mmpose
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├── mmpose
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├── docs
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├── tests
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├── tools
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├── configs
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`── data
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│── deepfashion2
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│── train
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│-- deepfashion2_short_sleeved_outwear_train.json
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│-- deepfashion2_short_sleeved_dress_train.json
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│-- deepfashion2_skirt_train.json
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│-- deepfashion2_sling_dress_train.json
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│-- ...
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│-- image
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│ │-- 000001.jpg
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│ │-- 000002.jpg
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│ │-- 000003.jpg
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│ │-- 000004.jpg
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│ │-- 000005.jpg
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│ │-- ...
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│── validation
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│-- deepfashion2_short_sleeved_dress_validation.json
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│-- deepfashion2_long_sleeved_shirt_validation.json
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│-- deepfashion2_trousers_validation.json
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│-- deepfashion2_skirt_validation.json
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│-- ...
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│-- image
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│ │-- 000001.jpg
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│ │-- 000002.jpg
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│ │-- 000003.jpg
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│ │-- 000004.jpg
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│ │-- 000005.jpg
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│ │-- ...
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```
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