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).

ClassesFirst training (%)Second training (%)Percent of improvement (%)

Rock oysters75.94596.23620.291
Kelp83.81799.49015.673
Zebra mussel77.14398.35021.207
Hydrozoan58.84192.03233.191
Acorn barnacle62.00196.77134.770
Algae58.74989.23130.482
Finger sponge39.36980.76741.398
Gooseneck barnacle89.06199.90310.842
Christmas tree worm65.09895.90830.810
Tunicates86.04296.34410.302