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 |
|
|