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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](http://max-assets.s3.us.cloud-object-storage.appdomain.cloud/keras/resnet50.h5). 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/).
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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-resnet-50/1.0/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/).
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## Model Metadata
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| Domain | Application | Industry | Framework | Training Data | Input Data Format |
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