Download brain_metadata.json from 2k22cse013/OncoscanModel: direct link, hf CLI and curl.
- Browser
- Download file 706 Bytes
-
https://huggingface.co/2k22cse013/OncoscanModel/resolve/main/brain_metadata.json
- Command line
-
hf download hf://2k22cse013/OncoscanModel/brain_metadata.json
-
curl -L -o brain_metadata.json https://huggingface.co/2k22cse013/OncoscanModel/resolve/main/brain_metadata.json
706 Bytes
| { | |
| "model_name": "brain", | |
| "arch": "efficientnet_b4", | |
| "num_classes": 3, | |
| "img_size": 224, | |
| "classes": [ | |
| "glioma", | |
| "meningioma", | |
| "pituitary" | |
| ], | |
| "class_labels": { | |
| "glioma": "Glioma \u2014 Most common brain tumour", | |
| "meningioma": "Meningioma \u2014 Tumour affecting brain membranes", | |
| "pituitary": "Pituitary Tumour \u2014 Affects pituitary gland" | |
| }, | |
| "mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "test_accuracy": 0.9953, | |
| "input_type": "MRI scan (T1/T2 weighted, JPEG/PNG)", | |
| "api_endpoint": "/predict/brain", | |
| "onnx_file": "brain_model.onnx", | |
| "notes": "Histopathology brain MRI classification model for OncoScan" | |
| } |