car-image-classifier / vision_metadata.json
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{
"created_at": "2026-06-07T08:11:50.046329+00:00",
"base_model": "microsoft/resnet-18",
"number_of_classes": 19,
"class_names": [
"Acura",
"Alpha Romeo",
"Aston Martin",
"Audi",
"BMW",
"Bentley",
"Cadillac",
"Fiat",
"Ford",
"Hyundai",
"Jaguar",
"Kia",
"Mahindra",
"Mazda",
"Mercedes-Benz",
"Porsche",
"Rolls Royce",
"Swift",
"Toyota"
],
"train_image_count": 2550,
"test_image_count": 796,
"accuracy": 0.2550251256281407,
"classification_report": {
"Acura": {
"precision": 0.4,
"recall": 0.3333333333333333,
"f1-score": 0.36363636363636365,
"support": 42.0
},
"Alpha Romeo": {
"precision": 0.5,
"recall": 0.04,
"f1-score": 0.07407407407407407,
"support": 25.0
},
"Aston Martin": {
"precision": 0.2,
"recall": 0.047619047619047616,
"f1-score": 0.07692307692307693,
"support": 42.0
},
"Audi": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 42.0
},
"BMW": {
"precision": 0.2288135593220339,
"recall": 0.4426229508196721,
"f1-score": 0.3016759776536313,
"support": 61.0
},
"Bentley": {
"precision": 0.14285714285714285,
"recall": 0.02631578947368421,
"f1-score": 0.044444444444444446,
"support": 38.0
},
"Cadillac": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 42.0
},
"Fiat": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 42.0
},
"Ford": {
"precision": 1.0,
"recall": 0.023809523809523808,
"f1-score": 0.046511627906976744,
"support": 42.0
},
"Hyundai": {
"precision": 0.11538461538461539,
"recall": 0.07142857142857142,
"f1-score": 0.08823529411764706,
"support": 42.0
},
"Jaguar": {
"precision": 0.23076923076923078,
"recall": 0.07142857142857142,
"f1-score": 0.10909090909090909,
"support": 42.0
},
"Kia": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 42.0
},
"Mahindra": {
"precision": 0.4222222222222222,
"recall": 0.9047619047619048,
"f1-score": 0.5757575757575758,
"support": 42.0
},
"Mazda": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 42.0
},
"Mercedes-Benz": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 42.0
},
"Porsche": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 42.0
},
"Rolls Royce": {
"precision": 0.24836601307189543,
"recall": 0.9047619047619048,
"f1-score": 0.38974358974358975,
"support": 42.0
},
"Swift": {
"precision": 0.14347826086956522,
"recall": 0.7857142857142857,
"f1-score": 0.2426470588235294,
"support": 42.0
},
"Toyota": {
"precision": 0.38181818181818183,
"recall": 1.0,
"f1-score": 0.5526315789473685,
"support": 42.0
},
"accuracy": 0.2550251256281407,
"macro avg": {
"precision": 0.211247854016573,
"recall": 0.24483136227107885,
"f1-score": 0.15080903005890456,
"support": 796.0
},
"weighted avg": {
"precision": 0.20584399065441628,
"recall": 0.2550251256281407,
"f1-score": 0.15658343282083895,
"support": 796.0
}
},
"note": "This model can only predict one of the trained vehicle brands/classes. It does not provide damage detection or technical condition assessment."
}