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Update README.md

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Jia Guo
2021-05-15 12:17:42 +08:00
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challenges/iccv21-mfr/README.md
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@@ -22,10 +22,20 @@ Test datasets mainly comes from [IFRT](https://github.com/deepinsight/insightfac
Mask testset contains 6,964 identities, 6,964 masked images and 13,928 non-masked images. There are totally 13,928 positive pairs and 96,983,824 negative pairs.
<details>
<summary>Click to check the sample images(here we manually blur it to protect privacy) </summary>
<img src="https://github.com/nttstar/insightface-resources/blob/master/images/ifrt_mask_sample.jpg" alt="ifrtsample" width="640">
</details>
#### Children set
Children testset contains 14,344 identities and 157,280 images. There are totally 1,773,428 positive pairs and 24,735,067,692 negative pairs.
<details>
<summary>Click to check the sample images(here we manually blur it to protect privacy) </summary>
<img src="https://github.com/nttstar/insightface-resources/blob/master/images/ifrt_children_sample.jpg" alt="ifrtsample" width="640">
</details>
#### Multi-racial set
The globalised multi-racial testset contains 242,143 identities and 1,624,305 images.
@@ -96,9 +106,9 @@ Inference time was evaluated on Tesla V100 GPU, using onnxruntime-gpu==1.6.
## Tutorial
1. ArcFace-PyTorch (with Partial-FC), [link](https://github.com/deepinsight/insightface/tree/master/recognition/arcface_torch)
2. OneFlow, [link](https://github.com/deepinsight/insightface/tree/master/recognition/oneflow_face)
3. MXNet, [link](https://github.com/deepinsight/insightface/tree/master/recognition/ArcFace)
1. ArcFace-PyTorch (with Partial-FC), [code](https://github.com/deepinsight/insightface/tree/master/recognition/arcface_torch), [tutorial-cn](https://github.com/deepinsight/insightface/blob/master/challenges/iccv21-mfr/tutorial_pytorch_cn.md)
2. OneFlow, [code](https://github.com/deepinsight/insightface/tree/master/recognition/oneflow_face)
3. MXNet, [code](https://github.com/deepinsight/insightface/tree/master/recognition/ArcFace)
## Submission Guide