models/car-image-classifier/vision_metadata.json

{
  "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."
}