---
license: apache-2.0
pipeline_tag: object-detection
datasets:
  - GaryFer/smart-parking-upeu-v4
language:
  - es
metrics:
  - map
tags:
  - object-detection
  - parking
  - yolov8
  - yolov11
  - yolov12
  - rtdetr
  - faster-rcnn
  - ultralytics
---

# 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}
}
```