Seafood Classifiers by means of AI-based Algorithms (Spanish)

This repository contains:

• The fish dataset used for the project, obtained from Kaggle
• A Jupyter Notebook with two multiclass classifiers:
  1. A Python-code implementation using CNN's, the Keras API and TensorFlow
  2. A No-code classifier using the Azure Custom Vision API
• A text file that has:
  • 29 URLs of images that can be used to test the classifiers
  • The code that can be used in the Azure CLI for testing
• My Internship report (Total: 159 pages)

Files of my Associate's Degree Internship Report in Mechatronics-Automation at the Universidad Tecnológica de San Juan del Río (UTSJR).

Dataset Citation

O.Ulucan, D.Karakaya, and M.Turkan. (2020). A Large-Scale Dataset for Fish Segmentation and Classification. 2020 Innovations in Intelligent Systems and Applications Conference (ASYU). pp. 1-5, doi: 10.1109/ASYU50717.2020.9259867