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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