| { | |
| "dataset_name": "Gatekeeper Binary Dataset (Preprocessed)", | |
| "purpose": "Binary gatekeeper for cervix detection before MedSigLip", | |
| "original_image_size": "448x448", | |
| "preprocessed_image_size": "224x224", | |
| "normalization": "[-1, 1] with mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]", | |
| "total_samples": 11547, | |
| "classes": { | |
| "cervix": { | |
| "label": 1, | |
| "count": 5543 | |
| }, | |
| "not_cervix": { | |
| "label": 0, | |
| "count": 6004 | |
| } | |
| }, | |
| "split": { | |
| "train": "70%", | |
| "validation": "15%", | |
| "test": "15%" | |
| }, | |
| "stratified": true, | |
| "balance_ratio": "0.923", | |
| "model": "MobileNetV3-Small", | |
| "threshold": 0.70, | |
| "input_shape": [224, 224, 3], | |
| "note": "Images have been resized to 224x224 and normalized to [-1, 1]. This file describes the version used for training the gatekeeper model." | |
| } |