Table 1 Comparison of model performance in terms of task type, accuracy, and real-time inference speed (FPS). Highlights YOLOv9 and DeepLabv3+ as the top-performing models.
Models | Feature | Accuracy | FPS |
---|---|---|---|
VGG16 | Image classification | 78.87% | 1.6 |
YOLOv9 | Object detection | 92.3% | 6 |
YOLOv9 | Pothole detection | 83% | 5.5 |
SSD | Object detection | 92% | 5.5 |
DeepLabv3+ | Lane detection | 97.26% | 6 |
UNet | Lane detection | 91.2% | 2.5 |