Estimating Fish Length Using Mask Region-Based Convolutional Neural Networks

Abstract

Extensive research has been conducted on the growth and the biological behaviours which both require the measurement of the fish samples. However, the existing measurement methods were time-consuming and laborintensive. In this research, we developed a faster method based on machine vision and artificial intelligence to measure the fish size and length automatically to support future ecological research.