---
dataset:
    name: imagenet
    task:
        type: mayo.task.image.Classify
        num_classes: 1001
        background_class: {has: true}
        shape:
            channels: 3
        preprocess:
            train:
                - {type: distort_bbox}
                - {type: random_flip}
        moment:
            mean: [0.485, 0.456, 0.406]
            std: [0.229, 0.224, 0.225]
    path:
        train: imagenet/train-*
        validate: imagenet/validation-*
    num_examples_per_epoch:
        train: 1281167
        validate: 50000
