Research Article
A Lightweight Model for Traffic Sign Classification Based on Enhanced LeNet-5 Network
Table 6
Accuracy of our proposed network compared with that of previous state-of-the-art approaches on German traffic sign data set.
| Methods | Accuracy (%) |
| Optimized LeNet-5 [34] | Between 93 and 96 | Modified LeNet-5 network [35] | 95.2 | Improved LeNet-5 [27] | 99.75 | LeNet architecture [45] | 96.23 | Small CNN [46] | 97.4 | Improved LeNet-5 [44] | 98.12 | Lightweight deep network [43] | 99.61 | Deep CNN [37] | 98.96 | Efficient CNN [41] | 99.66 | Ours | 99.84 |
|
|