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![Image text](https://github.com/nttstar/insightface-resources/blob/master/images/partial_speed1.png)
## Celeb-DeepGlint
We clean, merge, and release the **largest** and **cleanest** face recognition dataset **Celeb-DeepGlint**.
Baseline models trained on Celeb-DeepGlint with our proposed training strategy can easily achieve state-of-the-art.
The released dataset contains 18 million images of 360K individuals. The performance of **Celeb-DeepGlint** eval on large-scale
test set IJBC and megaface are as follows:
### IJBC and Megaface
Our backbone is ResNet100, we set feature scale s to 64 and cosine margin m of CosFace at 0.4.
|Test Dataset | IJBC(TAR@FAR=1e-4) | Megaface(Identification) | Megaface(TAR@FAR=1e-6) |
| :--- | :---: | :---: | :---: |
| MS1MV2 | 96.4 | 98.3 | 98.6 |
|Celeb-DeepGlint | **97.3** | **99.1** | **99.1** |
### IFRT
Comming soon.
## Performance
Comming soon.
## Citation
Coming soon.