A post-processing pixel-wise ROI mask applied to pretrained YOLO detections improved parking occupancy counting, with YOLOv9e reaching 99.68% balanced accuracy on a custom dataset, though the evaluation metrics are not clearly tied to the labels.
Deep learning for decentralized parking lot occupancy detection
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Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11
A post-processing pixel-wise ROI mask applied to pretrained YOLO detections improved parking occupancy counting, with YOLOv9e reaching 99.68% balanced accuracy on a custom dataset, though the evaluation metrics are not clearly tied to the labels.