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This PR includes the MLCube implementation for the image classification benchmark with Resnet, it also includes a small demo dataset to easily reproduce the benchmark.
Project setup
Go to mlcube directory and study what tasks MLCube implements.
cd ./mlcube mlcube describe
MLCube tasks
For the entire IMAGENET dataset, you will need to download the complete dataset and place it in the workspace under the mlcube folder, then you can use the following tasks:
Process dataset.
Train RESNET.
Run compliance checker.
Running a small demo
To download the susample dataset and run the demo use the following command: