resnet18-eurosat / config.json
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{
"architecture": "resnet18",
"num_classes": 10,
"num_features": 512,
"label_names": [
"Forest",
"River",
"Highway",
"AnnualCrop",
"SeaLake",
"HerbaceousVegetation",
"Industrial",
"Residential",
"PermanentCrop",
"Pasture"
],
"pretrained_cfg": {
"tag": "a1_in1k",
"custom_load": false,
"input_size": [
3,
224,
224
],
"test_input_size": [
3,
224,
224
],
"fixed_input_size": false,
"interpolation": "bicubic",
"crop_pct": 0.9655,
"test_crop_pct": 0.9655,
"crop_mode": "center",
"mean": [
0.3445,
0.3803,
0.4077
],
"std": [
0.0915,
0.0652,
0.0553
],
"num_classes": 1000,
"pool_size": [
7,
7
],
"first_conv": "conv1",
"classifier": "fc",
"origin_url": "https://github.com/huggingface/pytorch-image-models",
"paper_ids": "arXiv:2110.00476"
}
}