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### Recent Update
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**`2018.03.14`**: `train_softmax.py`(and a new `image_iter.py`) is now more clear after removing experimental code. All experimental and unstable test will be put on `train.py` and `data.py`.
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**`2018.02.16`**: We put the MegaFace noise list in this repo. Please refer to [https://github.com/deepinsight/insightface/blob/master/src/megaface] for detail.
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**`2018.02.13`**: We achieved state-of-the-art performance on [MegaFace-Challenge-1](http://megaface.cs.washington.edu/results/facescrub.html), at `98.06%`. Also note that the training set we used has NO identities overlap with facescrub, please check our paper for detail.
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