Research Article
Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model
Table 2
The IRT_ResNet models’ accuracy comparison.
| Model name | Accuracy | D1 dataset | D2 dataset | Both datasets |
| IRT_ResNet 18 | Men | 94% | Men | 100% | Men | 98% | Women | 88% | Women | 82% | Women | 92.9% | Average | 91% | Average | 91% | Average | 95.6% | IRT_ResNet 50 | Men | 100% | Men | 100% | Men | 94.7% | Women | 94% | Women | 94% | Women | 96.4% | Average | 97% | Average | 97% | Average | 95.6% | IRT_ResNet 101 | Men | 100% | Men | 100% | Men | 100% | Women | 94% | Women | 94% | Women | 98.2% | Average | 97% | Average | 97% | Average | 99% |
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