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README.md

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@@ -33,13 +33,13 @@ The original Caffe implementation can be found here : [Original Caffe implementa
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| **Method** | **\#Params** | **ImageNet** | **ImageNet-Real-Labels** |
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| :--------------------------- | :----------: | :-----------: | :-----------: |
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| SimpleNetV1_imagenet(38 MB) | 9.5m | 74.17/91.61 | 81.24/94.63 |
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| SimpleNetV1_imagenet(23 MB) | 5.7m | 71.94/90.3 | 79.12/93.68 |
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| SimpleNetV1_imagenet(13 MB) | 3m | 68.15/87.76 | 75.66/91.80 |
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| SimpleNetV1_imagenet(6 MB) | 1.5m | 61.53/83.43 | 69.11/88.10 |
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| SimpleNetV1_imagenet(36.33 MB) | 9.5m | 74.17/91.614 | 81.24/94.63 |
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| SimpleNetV1_imagenet(21.9 MB) | 5.7m | 71.936/90.3 | 79.12/93.68 |
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| SimpleNetV1_imagenet(12.58 MB) | 3m | 68.15/87.762 | 75.66/91.80 |
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| SimpleNetV1_imagenet(5.78 MB) | 1.5m | 61.524/83.43 | 69.11/88.10 |
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SimpleNet performs very decently, it outperforms VGGNet, variants of ResNet and MobileNets(1-3)
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and its fast, very fast!
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and its pretty fast as well!
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-- The models pretrained weights (pytorch, onnx, jit) can be found in [Release section](https://github.com/Coderx7/SimpleNet_Pytorch/releases)
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