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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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pipeline_tag: object-detection
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datasets:
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- GaryFer/smart-parking-upeu-v4
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language:
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- es
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metrics:
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- map
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tags:
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- object-detection
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- parking
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- yolov8
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- yolov11
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- yolov12
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- rtdetr
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- faster-rcnn
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- ultralytics
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---
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# Smart Parking UPeU — Model Weights
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Trained model weights for parking slot detection comparing five architectures on the Smart Parking UPeU v4 dataset (Juliaca, Peru).
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## Models included
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- YOLOv8s
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- YOLOv11s
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- YOLOv12s
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- RT-DETR-L
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- Faster R-CNN (ResNet-50 FPN)
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## Dataset
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3 classes: `libre`, `ocupado`, `no_disponible`
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3,072 training images / 293 validation / 146 test
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## Results (mAP@0.5, mean ± SD, 10 runs)
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| Model | mAP@0.5 | FPS |
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|-------|---------|-----|
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| YOLOv8s | 0.9948 ± 0.0002 | 205.5 ± 6.4 |
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| YOLOv11s | 0.9947 ± 0.0001 | 161.2 ± 5.7 |
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| YOLOv12s | 0.9946 ± ? | 94.2 ± 26.9 |
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| RT-DETR-L | 0.9946 ± 0.0002 | 41.1 ± 0.6 |
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| Faster R-CNN | 0.9925 ± 0.0003 | 26.9 ± 0.9 |
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## Citation
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```
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@article{yunganina2026smartparking,
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title={Smart Parking Detection...},
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author={Yunganina Mamani, Gary Fernando},
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year={2026}
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}
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```
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