| { |
| "resnet18v1": { |
| "name": "ResNet-18 Version 1", |
| "description": "ResNet v1 uses post-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet18v1/resnet18v1.tar.gz", |
| "path": "resnet18v1/resnet18v1.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 512 |
| }, |
| "resnet34v1": { |
| "name": "ResNet-34 Version 1", |
| "description": "ResNet v1 uses post-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet34v1/resnet34v1.tar.gz", |
| "path": "resnet34v1/resnet34v1.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 512 |
| }, |
| "resnet50v1": { |
| "name": "ResNet-50 Version 1", |
| "description": "ResNet v1 uses post-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet50v1/resnet50v1.tar.gz", |
| "path": "resnet50v1/resnet50v1.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 2048 |
| }, |
| "resnet101v1": { |
| "name": "ResNet-101 Version 1", |
| "description": "ResNet v1 uses post-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet101v1/resnet101v1.tar.gz", |
| "path": "resnet101v1/resnet101v1.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 2048 |
| }, |
| "resnet152v1": { |
| "name": "ResNet-152 Version 1", |
| "description": "ResNet v1 uses post-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet152v1/resnet152v1.tar.gz", |
| "path": "resnet152v1/resnet152v1.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 2048 |
| }, |
| "resnet18v2": { |
| "name": "ResNet-18 Version 2", |
| "description": "ResNet v2 uses pre-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet18v2/resnet18v2.tar.gz", |
| "path": "resnet18v2/resnet18v2.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 512 |
| }, |
| "resnet34v2": { |
| "name": "ResNet-34 Version 2", |
| "description": "ResNet v2 uses pre-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet34v2/resnet34v2.tar.gz", |
| "path": "resnet34v2/resnet34v2.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 512 |
| }, |
| "resnet50v2": { |
| "name": "ResNet-50 Version 2", |
| "description": "ResNet v2 uses pre-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet50v2/resnet50v2.tar.gz", |
| "path": "resnet50v2/resnet50v2.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 2048 |
| }, |
| "resnet101v2": { |
| "name": "ResNet-101 Version 2", |
| "description": "ResNet v2 uses pre-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet101v2/resnet101v2.tar.gz", |
| "path": "resnet101v2/resnet101v2.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 2048 |
| }, |
| "resnet152v2": { |
| "name": "ResNet-152 Version 2", |
| "description": "ResNet v2 uses pre-activation for the residual blocks", |
| "url": "https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet152v2/resnet152v2.tar.gz", |
| "path": "resnet152v2/resnet152v2.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 2048 |
| }, |
| "vgg16": { |
| "name": "VGG-16", |
| "url": "https://github.com/onnx/models/raw/master/vision/classification/vgg/model/vgg16-7.tar.gz", |
| "path": "vgg16/vgg16.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 4096 |
| }, |
| "vgg16bn": { |
| "name": "VGG-16 with batch normalization", |
| "description": "VGG have batch normalization applied after each convolutional layer", |
| "url": "https://github.com/onnx/models/raw/master/vision/classification/vgg/model/vgg16-bn-7.tar.gz", |
| "path": "vgg16-bn/vgg16-bn.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 4096 |
| }, |
| "vgg19": { |
| "name": "VGG-19", |
| "url": "https://github.com/onnx/models/raw/master/vision/classification/vgg/model/vgg19-7.tar.gz", |
| "path": "vgg19/vgg19.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 4096 |
| }, |
| "vgg19bn": { |
| "name": "VGG-19 with batch normalization", |
| "description": "VGG have batch normalization applied after each convolutional layer", |
| "url": "https://github.com/onnx/models/raw/master/vision/classification/vgg/model/vgg19-bn-7.tar.gz", |
| "path": "vgg19-bn/vgg19-bn.onnx", |
| "last_layers": -3, |
| "last_layers_dim": 4096 |
| } |
| } |