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MAX-Inception-ResNet-v2 - Identify objects in images using a third-generation deep residual network.

  •    Python

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. The model consists of a deep convolutional net using the Inception-ResNet-v2 architecture that was trained on the ImageNet-2012 data set. The input to the model is a 299x299 image, and the output is a list of estimated class probabilities. The model is based on the Keras built-in model for Inception-ResNet-v2. The model files are hosted on IBM Cloud Object Storage. 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.









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