Fig 3. Comparison of Convnet and feature based learning algorithms across all datasets.

Comparison of accuracies for the various learning algorithms (convolutional neural network, support vector classifier, and random forest) across different Vibrio image datasets, as well as two image datasets from fish devoid of gut bacteria. Each accuracy was determined by training on the data from all of the other datasets, and testing on the dataset of interest.