{
    "model_name": "mito_aff_unet_setup_16",
    "model_type": "UNet",
    "framework": "torch",
    "spatial_dims": 3,
    "in_channels": 1,
    "out_channels": 3,
    "iteration": 400000,
    "input_voxel_size": [
        16,
        16,
        16
    ],
    "output_voxel_size": [
        16,
        16,
        16
    ],
    "channels_names": [
        "mito_aff_1",
        "mito_aff_2",
        "mito_aff_3"
    ],
    "input_shape": [
        178,
        178,
        178
    ],
    "output_shape": [
        56,
        56,
        56
    ],
    "inference_input_shape": [
        378,
        378,
        378
    ],
    "inference_output_shape": [
        256,
        256,
        256
    ],
    "author": "Marwan Zouinkhi",
    "description": "Generated affinities for mitochondria segmentation using a UNet architecture trained on setup 16 with 400k iterations.",
    "version": "1.0.0",
    "format_version": "1"
}