| { | |
| "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" | |
| } | |