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object-detection
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Object Detection Metrics: IoU, AP, and the mAP Everyone Quotes
How detection is scored — IoU to decide a hit, greedy matching into TP/FP/FN, per-class Average Precision as the area under the precision–recall curve, and the COCO mAP@[.5:.95] you see in every paper — all on one running parking-lot example, with torchmetrics.
machine-learningmetricsobject-detectionmap
RF-DETR vs YOLO-NAS: A Practical Benchmark for Edge Deployment — CPU, GPU, and Intel iGPU Compared
RF-DETR Nano vs YOLO-NAS-S on COCO across CPU, CUDA GPU, and Intel Iris Xe iGPU — two resolutions, OpenVINO FP32/FP16/INT8, and a custom fine-tune, all under one consistent evaluation. RF-DETR wins accuracy; YOLO-NAS wins latency, efficiency, and INT8.
computer-visionobject-detectionopenvinoIntelSoftwareInnovator