| { | |
| "VGG16": { | |
| "accuracy": 0.336, | |
| "inference_time": 4.48, | |
| "macro_f1": 0.32, | |
| "weighted_f1": 0.32, | |
| "class_report": {} | |
| }, | |
| "ResNet50": { | |
| "accuracy": 0.237, | |
| "inference_time": 9.02, | |
| "macro_f1": 0.23, | |
| "weighted_f1": 0.23, | |
| "class_report": {} | |
| }, | |
| "MobileNetV2": { | |
| "accuracy": 0.595, | |
| "inference_time": 10.07, | |
| "macro_f1": 0.59, | |
| "weighted_f1": 0.59, | |
| "class_report": {} | |
| }, | |
| "EfficientNetB0": { | |
| "accuracy": 0.04, | |
| "inference_time": 13.88, | |
| "macro_f1": 0.04, | |
| "weighted_f1": 0.04, | |
| "class_report": {} | |
| } | |
| } |