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‎README.md

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[![Build Status](https://travis-ci.com/IBM/MAX-ResNet-50.svg?branch=master)](https://travis-ci.com/IBM/MAX-ResNet-50) [![Website Status](https://img.shields.io/website/http/max-resnet-50.max.us-south.containers.appdomain.cloud/swagger.json.svg?label=api+demo)](http://max-resnet-50.max.us-south.containers.appdomain.cloud/)
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[![Build Status](https://travis-ci.com/IBM/MAX-ResNet-50.svg?branch=master)](https://travis-ci.com/IBM/MAX-ResNet-50) [![Website Status](https://img.shields.io/website/http/max-resnet-50.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud/swagger.json.svg?label=api+demo)](http://max-resnet-50.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud)
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[<img src="docs/deploy-max-to-ibm-cloud-with-kubernetes-button.png" width="400px">](http://ibm.biz/max-to-ibm-cloud-tutorial)
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# IBM Code Model Asset Exchange: ResNet-50 Image Classifier
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This repository contains code to instantiate and deploy an image classification model. This model recognizes the 1000 different classes of objects in the [ImageNet 2012 Large Scale Visual Recognition Challenge](http://www.image-net.org/challenges/LSVRC/2012/). The model consists of a deep convolutional net using the ResNet-50 architecture that was trained on the ImageNet-2012 data set. The input to the model is a 224x224 image, and the output is a list of estimated class probilities.
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The model is based on the [Keras built-in model for ResNet-50](https://keras.io/applications/#resnet50). The model files are hosted on [IBM Cloud Object Storage](https://max-assets-prod.s3.us-south.cloud-object-storage.appdomain.cloud/max-resnet50/1.0.0/assets.tar.gz). The code in this repository deploys the model as a web service in a Docker container. This repository was developed as part of the [IBM Code Model Asset Exchange](https://developer.ibm.com/code/exchanges/models/) and the public API is powered by [IBM Cloud](https://ibm.biz/Bdz2XM).
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The model is based on the [Keras built-in model for ResNet-50](https://keras.io/applications/#resnet50). The model files are hosted on [IBM Cloud Object Storage](https://max-cdn.cdn.appdomain.cloud/max-resnet50/1.0.0/assets.tar.gz). The code in this repository deploys the model as a web service in a Docker container. This repository was developed as part of the [IBM Code Model Asset Exchange](https://developer.ibm.com/code/exchanges/models/) and the public API is powered by [IBM Cloud](https://ibm.biz/Bdz2XM).
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## Model Metadata
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| Domain | Application | Industry | Framework | Training Data | Input Data Format |

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