Add trained SmartVision models

best_yolo_model.pt

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+oid sha256:c702f601f9db777bc6c715f9b530a4afc628b6721d291966ff4d76c28888795c
+size 22518186

efficientnetb0_best_model.h5

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+oid sha256:ace259ad383e7d84b8226d0136d11c9fcd8a8a464cfe3551175493261fe240dd
+size 24958568

mobilenet_best.h5

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+oid sha256:788bf4e1f7255ba33f8bb5baa2f1106a0ae7cf062b02646b7ed796630704a0de
+size 28529360

mobilenet_finetuned_final.h5

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+oid sha256:d38b7cee351a13669ed13051266671c429577d180d202b72c809c3f88de4751f
+size 28529360

mobilenetv2_best_model.h5

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+oid sha256:44b1ee3e1ab2fd72e2f07f886beb8e0fad6598eee5402f6d13155ebef288ab26
+size 13587576

model_metrics.json

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+{
+    "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": {}
+    }
+}

resnet50_best_model.h5

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+oid sha256:7d16d2433d5a86c4b257aafc2e6735a4333709161973ed9551fd48b5a8025a69
+size 179161088

vgg16_best_model.h5

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+oid sha256:f8691de5bfb341b124b6915258da1c44afa6ba11a9bc8b36a0c15d04c4c6c8d5
+size 62262192

yolo11n.pt

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+oid sha256:0ebbc80d4a7680d14987a577cd21342b65ecfd94632bd9a8da63ae6417644ee1
+size 5613764

yolov8s.pt

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+oid sha256:1f47a78bf100391c2a140b7ac73a1caae18c32779be7d310658112f7ac9aa78a
+size 22588772