Wildlife Recognition CNN Keras Tensorflows

What it does

This project will allow an automatic sorting of the captures taken by the cameras, so as to be able to differentiate between human beings and animals.

How I built it

we built our project with the tools of deep learning and machine learning at our fingertips

Challenges I ran into

We encountered many difficulties, particularly in creating the recognition model, we had difficulty finding a dataset that met the objectives set.

Accomplishments that I'm proud of

I am proud to be able to present a viable support to the animal world.

What I learned

We have learned to work under pressure, never give up, and have always remained motivated.

What's next for Wildlife Recognition CNN Keras Tensorflows

The long term objective of this project would be to build a self-learning model so that it can classify species and subspecies, and also to improve the reliability of the model by a continuous increase of the database.

Built With

• keras
• opencv
• python
• sklearn
• tensorflow