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tags: |
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- image-classification |
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license: apache-2.0 |
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--- |
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# Model card for resnet18 |
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A ResNet-B image classification model. |
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This model features: |
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* ReLU activations |
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* Single layer 7x7 convolution with pooling |
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* 1x1 convolution shortcut downsample |
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Trained on ImageNet-1k in `timm` using recipe template described below. |
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Recipe details: |
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* ResNet Strikes Back `A1` recipe |
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* LAMB optimizer with BCE loss |
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* Cosine LR schedule with warmup |
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## Model Details |
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- **Model Type:** Image classification / feature backbone |
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- **Model Stats:** |
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- Params (M): 11.7 |
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- GMACs: 1.8 |
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- Activations (M): 2.5 |
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- Image size: train = 224 x 224, test = 288 x 288 |
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- **Papers:** |
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- ResNet strikes back: An improved training procedure in timm: https://arxiv.org/abs/2110.00476 |
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- Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385 |
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