Research Article
Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks
Table 4
Classification results of fouling (first and second training).
| Classes | First training (%) | Second training (%) | Percent of improvement (%) |
| Rock oysters | 75.945 | 96.236 | 20.291 | Kelp | 83.817 | 99.490 | 15.673 | Zebra mussel | 77.143 | 98.350 | 21.207 | Hydrozoan | 58.841 | 92.032 | 33.191 | Acorn barnacle | 62.001 | 96.771 | 34.770 | Algae | 58.749 | 89.231 | 30.482 | Finger sponge | 39.369 | 80.767 | 41.398 | Gooseneck barnacle | 89.061 | 99.903 | 10.842 | Christmas tree worm | 65.098 | 95.908 | 30.810 | Tunicates | 86.042 | 96.344 | 10.302 |
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