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Upload MobileNetV2ForSemanticSegmentation
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{
"_name_or_path": "google/deeplabv3_mobilenet_v2_1.0_513",
"architectures": [
"MobileNetV2ForSemanticSegmentation"
],
"classifier_dropout_prob": 0.8,
"depth_divisible_by": 8,
"depth_multiplier": 1.0,
"expand_ratio": 6,
"finegrained_output": true,
"first_layer_is_expansion": true,
"hidden_act": "relu6",
"id2label": {
"0": "background",
"1": "aeroplane",
"2": "bicycle",
"3": "bird",
"4": "boat",
"5": "bottle",
"6": "bus",
"7": "car",
"8": "cat",
"9": "chair",
"10": "cow",
"11": "diningtable",
"12": "dog",
"13": "horse",
"14": "motorbike",
"15": "person",
"16": "pottedplant",
"17": "sheep",
"18": "sofa",
"19": "train",
"20": "tvmonitor"
},
"image_size": 513,
"initializer_range": 0.02,
"label2id": {
"aeroplane": 1,
"background": 0,
"bicycle": 2,
"bird": 3,
"boat": 4,
"bottle": 5,
"bus": 6,
"car": 7,
"cat": 8,
"chair": 9,
"cow": 10,
"diningtable": 11,
"dog": 12,
"horse": 13,
"motorbike": 14,
"person": 15,
"pottedplant": 16,
"sheep": 17,
"sofa": 18,
"train": 19,
"tvmonitor": 20
},
"layer_norm_eps": 0.001,
"min_depth": 8,
"model_type": "mobilenet_v2",
"num_channels": 3,
"output_stride": 8,
"semantic_loss_ignore_index": 255,
"tf_padding": true,
"torch_dtype": "float32",
"transformers_version": "4.33.0"
}