{
  "model_type": "running-detection",
  "library_name": "openvino",
  "pipeline_tag": "object-detection",
  "category": "Object Detection + Tracking + Speed Estimation",
  "base_model": "YOLO26 (Ultralytics) + DLStreamer `gvatrack` (Kalman filter tracker)",
  "source_framework": "PyTorch (Ultralytics)",
  "supported_precisions": [
    "FP32",
    "FP16",
    "INT8"
  ],
  "inference_engine": "OpenVINO",
  "hardware": [
    "CPU",
    "GPU",
    "NPU"
  ],
  "detected_classes": "`person` (COCO class 0)",
  "hf_repo_id": "Intel/running-detection",
  "description": "Running detection use case using YOLO26 person detection with gvatrack tracking and per-track pixel-speed estimation to flag people running faster than a configurable threshold"
}