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resnet50.onnx model

Name: resnet50.onnx model
Keywords: Image Classification, resnet50, tensorflow, ONNX, Inference, Imagenet2012, Inference, Pretrained Model

appsOther research productkeyboard_double_arrow_right Other ORP type 08 Jan 2019Publisher:Zenodo

Authors: https://github.com/mlperf/training/tree/master/image_classification; https://github.com/tensorflow/models/tree/master/official/resnet;

doi: 10.5281/zenodo.2592612 , 10.5281/zenodo.2535874 , 10.5281/zenodo.4313974 , 10.5281/zenodo.4735647

resnet50.onnx model

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Abstract

How this model was created: ``` download the frozen tensorflow model from https://zenodo.org/deposit/2535873 pip install -U tf2onnx python -m tf2onnx.convert --input resnet50_v1.pb --inputs input_tensor:0 --inputs-as-nchw input_tensor:0 --outputs ArgMax:0 --verbose --opset 8 --output resnet50_v1.onnx ```

Application: Image Classification ML Task: ResNet-50 Framework: ONNX (via tensorflow) Training Information: Quality: 76.53% Precision: fp32 Is Quantized: no Is ONNX: yes Dataset: http://www.image-net.org/challenges/LSVRC/2012/

Keywords

Image Classification, resnet50, tensorflow, ONNX, Inference, Imagenet2012, Inference, Pretrained Model

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12 Research products, page 1 of 2

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