{
  "model_name": "olib-jet-qc",
  "model_type": "ProductClassifier",
  "framework": "PyTorch",
  "license": "MIT",
  "language": [
    "en"
  ],
  "tags": [
    "computer-vision",
    "quality-control",
    "industrial-ai",
    "jetson",
    "tof-sensor",
    "pytorch",
    "manufacturing"
  ],
  "author": "Akram Hasan Sharkar",
  "company": "Olib AI",
  "website": "https://www.olib.ai",
  "github": "https://github.com/ibnbd",
  "repository": "https://github.com/Olib-AI/olib-jet-qc",
  "architecture": {
    "name": "ProductClassifier",
    "input_modalities": [
      "depth",
      "rgb"
    ],
    "output_classes": 8,
    "backbone": "Multi-modal CNN",
    "parameters": 629599872,
    "input_resolution": [
      320,
      240
    ],
    "sensor_type": "Opene8008B QVGA ToF"
  },
  "performance": {
    "accuracy": "N/A",
    "precision": "N/A",
    "recall": "N/A",
    "f1_score": "N/A",
    "inference_latency_ms": "N/A",
    "fps": "N/A"
  },
  "hardware": {
    "target_device": "NVIDIA Jetson AGX Orin",
    "min_memory_gb": 8,
    "cuda_required": true,
    "jetpack_version": "5.1+",
    "python_version": "3.8+"
  },
  "training": {
    "dataset_size": "N/A",
    "epochs": "N/A",
    "batch_size": "N/A",
    "optimizer": "AdamW",
    "learning_rate": "N/A",
    "augmentation": true
  },
  "use_cases": [
    "Industrial quality control",
    "Manufacturing defect detection",
    "Product classification",
    "Real-time inspection systems"
  ],
  "input_specs": {
    "depth_data": {
      "shape": "[batch_size, 1, 240, 320]",
      "dtype": "float32",
      "range": "[0.0, 10.0]",
      "unit": "meters"
    },
    "rgb_data": {
      "shape": "[batch_size, 3, 240, 320]",
      "dtype": "float32",
      "range": "[0.0, 1.0]",
      "format": "RGB"
    }
  },
  "output_specs": {
    "logits": {
      "shape": "[batch_size, num_classes]",
      "dtype": "float32",
      "description": "Raw classification logits"
    },
    "probabilities": {
      "shape": "[batch_size, num_classes]",
      "dtype": "float32",
      "description": "Softmax probabilities"
    }
  },
  "version": "1.0.0",
  "created_date": "2025-06-22T22:28:26.902554",
  "original_checkpoint": "best_model.pth"
}