🦜MinBiLens: Identifying Mindanao Bird Species Using Convolutional Neural Networks

Overview

Minbilens is a project that uses convolutional neural networks (CNNs) to identify and classify bird species found in the Mindanao region of the Philippines. This repository contains the code and data used in the project, as well as links to demo videos and a research paper.

My Role

• ResNet50 model development
• Backend development and deployment

Research Paper

For more information about the Minbilens project, check out our research paper: https://www.academia.edu/109030915/Identifying_and_Classifying_Mindanao_Bird_Species_using_Convolutional_Neural_Network

Demo Website

http://34.22.70.195:5000/

Demo Videos

Check out our demo videos to see Minbilens in action:

Desktop:

https://youtu.be/kBZsw_XTMT0

Mobile:

https://youtube.com/shorts/A419P4SPeDw?feature=share

Colab

The code of ResNet can also be run on Google Colab. Access the notebook here: https://colab.research.google.com/drive/1yLRHt1m4y9a5k09ywmahm1_2XZHFnuRB?usp=sharing