vehicle-detection / config.json
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{
"model_type": "vehicle-detection",
"library_name": "openvino",
"pipeline_tag": "object-detection",
"category": "Object Detection (Vehicle Detection)",
"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-detection",
"description": "Vehicle detection use case using YOLO26 INT8 filtered to car, motorcycle, bus, and truck classes"
}