| --- |
| 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} |
| } |
| ``` |
