Research Article
Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks
Table 1
Different classes and number of fouling images.
| Fouling image class | Image count |
| Rock oysters | 82 | Kelp | 272 | Zebra mussel | 220 | Hydrozoan | 116 | Acorn barnacle | 83 | Algae | 195 | Finger sponge | 119 | Gooseneck barnacle | 288 | Christmas tree worm | 222 | Tunicates | 228 |
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