Animal-Image-Recognition-Model

This is a image recognition model project that uses Tensorflows CNN(Convolutional Neural Network) architecture.

• This was a class project, code was writen by four people

what is a Convolutional Neural Network(s)

• A Convolutional Neural Network is a type of neural network architecture that is popular use cases are for:

  • image reconition
  • object detection
  • image classification
  • video recognition

• A Neural Network is composed of 3 Layers :

  • Input Layer: Takes in raw data, like pictures or numbers.
  • Hidden Layers: Process and combine the data to find patterns.
  • Output Layer: Gives the final result, like “This is a cat.”

• Learning Through Mistakes:

  • At first, guesses are random. The network learns by fixing mistakes, repeating until it gets better.

• Connection Strength:

  • The links between neurons are like wires. Learning strengthens important connections and weakens less useful ones.

How Tensorflow Works

• For this project we decided to use tensorflow as our main lib
  • TensorFlow helps create and train models for applications like image recognition, language processing, and predictions.
  • TensorFlow uses "tensors," which are multi-dimensional arrays, to process and analyze data. It offers user-friendly tools for beginners and advanced features for experts and works on different platforms, including computers and mobile devices, making it flexible for various projects.

Results

• The Model Produced around a ~98% accuracy

Dataset

• Since github will not allow me to include the dataset we made the link for the Kaggle page will be below

  • About 3gb worth of images:
    • comprising of Googles recaptcha v2 images for most non-animal images and landscapes;
    • The other half comes from 4 diffrent large animla datasets with over 50+ diffrent species

  https://www.kaggle.com/datasets/tylerelvis/animal-vs-non-animal-image-recognition-dataset

Rrequirements

• All Libs that need to be downloaded to the latest verstion

  !pip install tensorflow opencv-python matplotlib

Links That Helped Us Along The Way

Important links:

• https://www.datacamp.com/tutorial/cnn-tensorflow-python
  • In-depth info about tensors and how image recognition works
• https://www.youtube.com/watch?v=jztwpsIzEGc
  • Great video, guy goes really in-depth with everything
• https://www.tensorflow.org/api_docs/python/tf/all_symbols
  • TensorFlow Documentation
• https://github.com/billy-enrizky/TensorFlow-Image-Classification/blob/main/index.ipynb
  • Really good example project