config.json

{
  "model_type": "crowd-analysis",
  "library_name": "openvino",
  "pipeline_tag": "object-detection",
  "category": "Object Detection (Crowd Density + Movement)",
  "base_model": "YOLO26 (Ultralytics)",
  "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/crowd-analysis",
  "description": "Crowd analysis use case using YOLO26 person detection with density levels and gvatrack-based movement flow"
}