| { | |
| "architecture": "mobilevit_s", | |
| "num_classes": 2, | |
| "input_size": 256, | |
| "class_names": ["garbage", "quality"], | |
| "optimal_threshold": 0.7115, | |
| "performance": { | |
| "without_threshold": { | |
| "threshold": 0.5, | |
| "accuracy": 0.9346, | |
| "precision": 0.9224, | |
| "recall": 0.9547, | |
| "f1": 0.9383 | |
| }, | |
| "with_optimal_threshold": { | |
| "threshold": 0.7115, | |
| "accuracy": 0.9362, | |
| "precision": 0.9392, | |
| "recall": 0.9382, | |
| "f1": 0.9387 | |
| } | |
| }, | |
| "training": { | |
| "total_frames": 12440, | |
| "train_frames": 10574, | |
| "val_frames": 1866, | |
| "validation_distribution": { | |
| "garbage": 895, | |
| "quality": 971 | |
| } | |
| } | |
| } | |