Reconnaissance d’espèces de poissons dans des images vidéo sous-marines

Abstract

The objective of this thesis is to develop tools and methods for automatic recognition of fish species in underwater video images. We focus on modern deep learning approaches, in particular convolutional neural networks (CNNs).