Parking Spot Occupancy Detection on Parking Lot Scenario
99.68B.Acc.YOLOv9e
Evaluation results
| Method | Links | ||
|---|---|---|---|
| YOLOv9eModel Size=117.5 MB, Hardware=Raspberry Pi 3B+, Inference Time=92 ± 9.3 s2026.02 | 99.68 | 0.03 | |
| YOLOv11xModel Size=114.6 MB, Hardware=Raspberry Pi 3B+, Inference Time=46 ± 7.4 s2026.02 | 99.46 | 0.07 | |
| YOLOv11mModel Size=40.7 MB, Hardware=Raspberry Pi 3B+, Inference Time=11 ± 2.3 s2026.02 | 99.31 | 0.07 | |
| YOLOv11m (TFLite)Post-processing=Spot-Wise + ABBP, Model Format=TFLite, Model Size=40.5 MB, Hardware=Raspberry Pi 3B+, Inference Time=8.5 ± 0.11 s2026.02 | 98.8 | 0.08 | |
| YOLOv11m (TFLite)Post-processing=Spot-Wise, Model Format=TFLite, Model Size=40.5 MB, Hardware=Raspberry Pi 3B+, Inference Time=8.4 ± 0.12 s2026.02 | 98.71 | 0.1 | |
| YOLOv11m (TFLite)Model Format=TFLite, Model Size=40.5 MB, Hardware=Raspberry Pi 3B+, Inference Time=8.0 ± 0.62 s2026.02 | 98.65 | 0.1 | |
| YOLOv8xModel Size=136.9 MB, Hardware=Raspberry Pi 3B+, Inference Time=28 ± 0.7 s2026.02 | 98.49 | 0.11 | |
| YOLOv10xModel Size=64.4 MB, Hardware=Raspberry Pi 3B+, Inference Time=24 ± 0.2 s2026.02 | 98.3 | 0.12 | |
| YOLOv10nModel Size=5.9 MB, Hardware=Raspberry Pi 3B+, Inference Time=2 ± 0.03 s2026.02 | 97.32 | 0.3 | |
| YOLOv11nModel Size=5.6 MB, Hardware=Raspberry Pi 3B+, Inference Time=2 ± 0.02 s2026.02 | 96.15 | 0.42 | |
| Mask R-CNNModel Size=257.6 MB, Hardware=Raspberry Pi 3B+2026.02 | 94.95 | 0.43 | |
| YOLOv8nModel Size=6.5 MB, Hardware=Raspberry Pi 3B+, Inference Time=2 ± 0.06 s2026.02 | 94.86 | 0.4 | |
| EfficientDet-D2 LiteModel Format=TFLite, Model Size=7.6 MB, Hardware=Raspberry Pi 3B+, Inference Time=1 ± 0.11 s2026.02 | 89.54 | 1.3 | |
| YOLOv9tModel Size=5.0 MB, Hardware=Raspberry Pi 3B+, Inference Time=2 ± 0.02 s2026.02 | 86.9 | 0.63 | |
| YOLOv3Model Size=248.0 MB, Hardware=Raspberry Pi 3B+, Inference Time=9 ± 0.25 s2026.02 | 83.55 | 0.64 |