smart-parking-weights – AI Model by GaryFer | AlphaNeural AI

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smart-parking-weights

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object-detection

GaryFer/smart-parking-upeu-v4

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Smart Parking UPeU — Model Weights

Trained model weights for parking slot detection comparing five architectures on the Smart Parking UPeU v4 dataset (Juliaca, Peru).

Models included

YOLOv8s
YOLOv11s
YOLOv12s
RT-DETR-L
Faster R-CNN (ResNet-50 FPN)

Dataset

3 classes: libre, ocupado, no_disponible
3,072 training images / 293 validation / 146 test

Results (mAP@0.5, mean ± SD, 10 runs)

Model	mAP@0.5	FPS
YOLOv8s	0.9948 ± 0.0002	205.5 ± 6.4
YOLOv11s	0.9947 ± 0.0001	161.2 ± 5.7
YOLOv12s	0.9946 ± ?	94.2 ± 26.9
RT-DETR-L	0.9946 ± 0.0002	41.1 ± 0.6
Faster R-CNN	0.9925 ± 0.0003	26.9 ± 0.9

Citation

@article{yunganina2026smartparking,
  title={Smart Parking Detection...},
  author={Yunganina Mamani, Gary Fernando},
  year={2026}
}