Upload GrandQC/GrandQC_tissue_seg_config.json with huggingface_hub
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GrandQC/GrandQC_tissue_seg_config.json
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{
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"model_name": "GrandQC Tissue Segmentation",
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"arch": "unetplusplus",
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"encoder_name": "timm-efficientnet-b0",
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"encoder_weights": "imagenet",
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"in_channels": 3,
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"classes": 2,
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"activation": null,
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"input_size": [
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224,
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224
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],
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"expected_input_shape": [
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1,
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3,
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224,
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224
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],
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"output_classes": [
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"background",
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"tissue"
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],
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"preprocessing": {
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"normalization": "imagenet",
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"mean": [
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0.485,
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0.456,
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0.406
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],
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"std": [
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0.229,
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0.224,
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0.225
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],
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"description": "Apply ImageNet normalization to input images"
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},
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"model_version": "1.0",
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"build_date": "2025-07-18T10:26:05.873076",
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"torch_version": "2.7.1",
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"source_weights": "https://zenodo.org/records/14507273/files/Tissue_Detection_MPP10.pth",
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"description": "Tissue segmentation model for histopathology images at MPP 10",
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"usage_example": "Input RGB images of size 224x224, outputs 2-channel segmentation mask"
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}
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