deployment_info.json

{
    "model_type": "YOLOv8m object detection v2",
    "classes": [
        "paper",
        "plastic",
        "metal",
        "organic",
        "other"
    ],
    "input_size": 640,
    "confidence_threshold": 0.25,
    "iou_threshold": 0.5,
    "output": "bounding_box + class_label + confidence",
    "recommended_mobile_format": "ONNX",
    "note": "YOLOv8m lebih berat dari YOLOv8n/s. Gunakan hanya jika akurasi naik signifikan dan FPS masih cukup untuk mobile."
}