{
  "model_type": "vehicle-entry-exit-logging",
  "library_name": "openvino",
  "pipeline_tag": "object-detection",
  "category": "Object Detection + Tracking + Line Crossing",
  "base_model": "YOLO26 (Ultralytics)",
  "source_framework": "PyTorch (Ultralytics)",
  "supported_precisions": [
    "FP32",
    "FP16",
    "INT8"
  ],
  "inference_engine": "OpenVINO",
  "hardware": [
    "CPU",
    "GPU",
    "NPU"
  ],
  "detected_classes": "`car` (2), `motorcycle` (3), `bus` (5), `truck` (7)",
  "hf_repo_id": "Intel/vehicle-entry-exit-logging",
  "description": "Vehicle entry/exit logging use case using YOLO26 vehicle detection with BoT-SORT tracking and virtual line-crossing to log directional entry and exit events"
}