AiDLab-fAshIon-Data

KO | EN

gitlite — search

#javascript #machine-learning #linux #docker #macos #java #windows #kubernetes #vue #awesome-list #security #pytorch #ios #open-source

AiDLab-fAshIon-Data

(★ 100)

fAshIon Datasets

파일 탐색기

최종 버전 다운로드 (.zip)

- A100.md
- cleaned-maryland.md
- cleaned-type.md
- EVALUATION3.md
- fAshIon-DA.md
- FashionAI_Attributes.md
- FashionAI_Keypoints.md
- O4U.md
- Print14.md
- StylishGAN.md
README.md

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# fAshIon DATA  🕴️ 💼

Datasets provided by fAshIon TEAM for **ACADEMIC USAGE ONLY**. If you want to use them in commercial products, please kindly send an email to xingxing.zou@polyu.edu.hk for further inquiry.

🖤 **KEY NOTEs**

- &nbsp;Images are collected from the Internet or created by ourselves; Labels in these datasets are all manually annotated;
- &nbsp;For some datasets that need PASSWORD, please send an email further inquiry;

🖤 **QUICK CHECK**

- &nbsp; **FashionAI Attributes** 🔖 _attributes recognition_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/FashionAI_Attributes.md)_】
- &nbsp; **FashionAI Key Points** 🔖 _key points recognition_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/FashionAI_Keypoints.md)_】
- &nbsp; **EVALUATION3** 🔖 _attributes manipulation_ 🔖 _compatibility learning_ 🔖 _attributes recognition_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/EVALUATION3.md)_】
- &nbsp; **fAshIon-DA** 🔖 _domain adoptation_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/fAshIon-DA.md)_】
- &nbsp; **Print14** 🔖 _print recognition_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/Print14.md)_】
- &nbsp; **Beauty U** 🔖 _style transfer_ 【_coming soon_】
- &nbsp; **Aesthetic 100** 🔖 _aesthetic ability evaluation for fashion compatibility learning_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/A100.md)_】
- &nbsp; **O4U** 🔖 _personal fashion compatibility learning_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/O4U.md)_】
- &nbsp; **CLOTH4D** 🔖 _clothed human reconstruction_ 【_[click here](https://github.com/AemikaChow/CLOTH4D)_】
- &nbsp; **StylishGAN** 🔖 _fashion illustration translation_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/edit/main/Datasets/StylishGAN.md)_】
- &nbsp; **SC-artext** 🔖 _graphic design_ 🔖 _artistic text rendering_【_[click here](https://github.com/ArtmeScienceLab/FonTS)_】
- &nbsp; **AFED** 🔖 _fine grained attributes editing_ 【_[click here](https://github.com/ArtmeScienceLab/AnyFashionAttributeEditing)_】
<br />

- &nbsp; **Cleaned Maryland** 🔖 _compatibility learning_ 🔖 _outfit generation_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/cleaned-maryland.md)_】
- &nbsp; **Cleaned Type-aware** 🔖 _compatibility learning_ 🔖 _outfit generation_ 【_[click here](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/cleaned-type.md)_】

🖤 **ACKNOWLEDGE**

Thanks to all members of the data team, participants from the fashion industry, and our collaborators for their valuable contributions to these datasets.

**[Names not listed in order]**

Po Yee(Boey) PANG, Wai Lee(Selene) CHONG, Hee Young KIM, Lan GE, Wan Yan(Priscilla) YAM, Ming Kin(Kenny) KOO, Kit Ting(Kitty) CHOI, Peini Yu, Linxi Zhu, Hua Hui, Liner Shen, Linyun Yu, Tian Wang, Xiaoqin Li, Yantong Chen, Zixuan He, Hei Man(Samantha) SHUM, Kwan Yi(Frances) CHUNG.

AiDLab-fAshIon-Data

파일 탐색기

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

AiDLab-fAshIon-Data

파일 탐색기

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README