Research Article
Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems
Table 5
Performance matrices of modified CNN on VeRi dataset.
| Class | Accuracy | Error rate | Specificity | Precision | Recall | F1 score |
| Bus | 100.0 | 0.00 | 100.0 | 100.000 | 98.60 | 99.29507 | MPV | 94.19 | 5.86 | 99.82 | 94.1914 | 96.87 | 95.51192 | Pickup | 92.76 | 7.24 | 99.53 | 92.7637 | 99.04 | 95.79916 | Sedan | 99.59 | 0.41 | 99.91 | 99.5971 | 91.52 | 95.38787 | Truck | 96.01 | 3.99 | 99.18 | 96.0118 | 93.64 | 94.81107 | Van | 93.79 | 6.21 | 98.73 | 93.7947 | 98.35 | 96.01835 | Total: | 96.06 | 3.95 | 99.53 | 96.06 | 96.34 | 96.14 |
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