diff --git a/challenges/iccv21-mfr/README.md b/challenges/iccv21-mfr/README.md index 000f3fa..71d2be4 100644 --- a/challenges/iccv21-mfr/README.md +++ b/challenges/iccv21-mfr/README.md @@ -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. +
+ Click to check the sample images(here we manually blur it to protect privacy) + ifrtsample +
+ #### 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. +
+ Click to check the sample images(here we manually blur it to protect privacy) + ifrtsample +
+ #### 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