https://github.com/abrarshahok/wildlife-species-identification-using-cnn

In this project i've built and trained a Convolutional Neural Network (CNN) to classify wild animals.
https://github.com/abrarshahok/wildlife-species-identification-using-cnn

cnn cnn-classification cnn-keras cnn-model convolutional-neural-networks neural-network numpy opencv pandas python scikit-learn tensorflow wildlife-classification

Last synced: 3 days ago
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In this project i've built and trained a Convolutional Neural Network (CNN) to classify wild animals.

• Host: GitHub
• URL: https://github.com/abrarshahok/wildlife-species-identification-using-cnn
• Owner: abrarshahok
• Created: 2025-02-16T19:06:30.000Z (4 days ago)
• Default Branch: main
• Last Pushed: 2025-02-16T19:16:23.000Z (4 days ago)
• Last Synced: 2025-02-16T20:24:47.127Z (4 days ago)
• Topics: cnn, cnn-classification, cnn-keras, cnn-model, convolutional-neural-networks, neural-network, numpy, opencv, pandas, python, scikit-learn, tensorflow, wildlife-classification
• Language: Jupyter Notebook
• Homepage:
• Size: 13.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Wildlife Species Identification using CNN

In this project i've built and trained a Convolutional Neural Network (CNN) to classify six wild animals: **Fox, Lion, Hyena, Wolf, Tiger, and Cheetah**.

### Dataset: [Wildlife Animals Images](https://www.kaggle.com/datasets/anshulmehtakaggl/wildlife-animals-images)

## Performance

- **Overall Accuracy**: **91%**

- **Best F1-score**: **1.00 (Tiger)**

- **Lowest F1-score**: **0.83 (Hyena)**