unet_segmentation_pet / config.json
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{
"model_type": "keras",
"framework": "tensorflow",
"format": "h5",
"task": "image-segmentation",
"architecture": "unet",
"input_shape": [128, 128, 3],
"loss": {
"name": "SparseCategoricalCrossentropy",
"from_logits": true
},
"preprocessing": {
"image_resize": [128, 128],
"mask_resize": [128, 128],
"mask_resize_method": "nearest",
"image_normalization": "x/255.0",
"mask_label_offset": -1
},
"dataset": {
"name": "oxford_iiit_pet",
"version": "3.."
},
"num_classes": 3,
"id2label": {
"0": "background",
"1": "pet",
"2": "outline"
},
"label2id": {
"background": 0,
"pet": 1,
"outline": 2
},
"model_file": "segmentation_pets.h5"
}