An Application of Image Classification to Saltwater Fish Identification in Louisiana Fisheries

Abstract

Fish identification is a challenge to recreational anglers, but critically important to the management of fisheries. The state of Louisiana currently provides printed illustrations of species as the sole aid to anglers for the process of fish identification. This work describes the application of Google's TensorFlow machine learning library to the task of fish identification as a case study on the application of the image classification capabilities. We describe the implementation and results of the project.