Home   >   Projects   >   VXC-CNNS

VXC-CNNS

Advanced VxC techniques based on Deep Learning and CNNs for the biometric characterization of bluefin tuna.

Field
Regional
Date
01/01/2021 - 31/12/2023
Industry
  • Feeding
Budget
Funded by

GVA. AICO Program

Website
Video

PROJECT INFORMATION

DESCRIPTION

The overall objective of this project is to develop advanced Computer Vision (CxV) techniques based on Deep Learning and Convolutional Neural Networks (CNN) applicable to natural underwater environments to automatically characterize bluefin tuna populations biometrically.

The overall objective of this project is to develop advanced Computer Vision (CxV) techniques based on Deep Learning and Convolutional Neural Networks (CNN) applicable to natural underwater environments to automatically characterize bluefin tuna populations biometrically.

Contact information

Andreu García, Gabriela
University Professor - PDI

Ai2

Technological capabilities

IA
Artificial Vision