Could anyone please show me the whole process to make your own dataset?
See original GitHub issueI am trapped in the big confusion on how to make a dataset that can be used to train arcface model out of my own face data directory, in the structure as below:
.
├── PersonA
│ ├── 001.jpeg
│ └── 002.jpeg
├── PersonB
│ ├── 001.jpeg
│ └── 002.jpeg
└── PersonC
├── 001.jpeg
├── 002.jpeg
└── 003.jpeg
3 directories, 7 files
It would be better to show me the steps in detail in the following form:
- …
- …
- … …
Much appreciation and thanks!
Issue Analytics
- State:
- Created 4 years ago
- Reactions:8
- Comments:18
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Hi @YokkaBear, I think you have to search other places or read papers of LFW, YTF dataset creators to get an understanding of how datasets are collected and refined, the issues here are mostly about insightface project and not about some dataset, because they’ve used merged or publicly available datasets (you can read their paper (https://arxiv.org/pdf/1801.07698.pdf)). But to clear some points you can follow the next steps (regarding this project):
You can also read some info on my page (I’ll rewrite/restructure it in 1-2 weeks): https://github.com/Talgin/preparing_data
P.S. Codes provided above are my publicly available codes and codes shared in github by other people.
Good luck! 😃
@YokkaBear See this link . Might help u out https://github.com/VictorZhang2014/facenet/blob/master/mydata/generate_pairs.py The following link is better and tested: https://github.com/armanrahman22/Facial-Recognition-and-Alignment/blob/master/facenet_sandberg/generate_pairs.py