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config.json

@@ -0,0 +1,81 @@
+{
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsample_in_bottleneck": false,
+  "downsample_in_first_stage": false,
+  "dtype": "float32",
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    64,
+    128,
+    256,
+    512
+  ],
+  "id2label": {
+    "0": "Acura",
+    "1": "Alpha Romeo",
+    "2": "Aston Martin",
+    "3": "Audi",
+    "4": "BMW",
+    "5": "Bentley",
+    "6": "Cadillac",
+    "7": "Fiat",
+    "8": "Ford",
+    "9": "Hyundai",
+    "10": "Jaguar",
+    "11": "Kia",
+    "12": "Mahindra",
+    "13": "Mazda",
+    "14": "Mercedes-Benz",
+    "15": "Porsche",
+    "16": "Rolls Royce",
+    "17": "Swift",
+    "18": "Toyota"
+  },
+  "label2id": {
+    "Acura": 0,
+    "Alpha Romeo": 1,
+    "Aston Martin": 2,
+    "Audi": 3,
+    "BMW": 4,
+    "Bentley": 5,
+    "Cadillac": 6,
+    "Fiat": 7,
+    "Ford": 8,
+    "Hyundai": 9,
+    "Jaguar": 10,
+    "Kia": 11,
+    "Mahindra": 12,
+    "Mazda": 13,
+    "Mercedes-Benz": 14,
+    "Porsche": 15,
+    "Rolls Royce": 16,
+    "Swift": 17,
+    "Toyota": 18
+  },
+  "layer_type": "basic",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "transformers_version": "4.57.6"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:afeaf4fde52c225b89d38c518b5b9f719f290fefa78ce0eb2a428ab288586f50
+size 44799220

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a59e83ad1ae948f5425338e71029b31c597132df487531147533f51bb11c0c0
+size 5432

vision_metadata.json

@@ -0,0 +1,159 @@
+{
+  "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."
+}