A deep learning model capable of classifying animals into 90 categories (e.g., Parrot, Cat, Dog) using Transfer Learning (MobileNetV2).
- Architecture: MobileNetV2 (Pre-trained on ImageNet)
- Performance: Uses Transfer Learning for high accuracy with less training.
- Dataset: Animal Image Dataset (90 Different Animals)
- Tech Stack: Python, TensorFlow, Keras, NumPy.
Run the following commands in your terminal to set up and run the project:
# 1. Clone the repository
git clone https://github.com/ganeshpishey/Animal-Classification-AI.git(https://github.com/ganeshpishey/Animal-Classification-AI.git)
# 2. Enter the folder
cd Animal-Classification-AI
# 3. Install dependencies
pip install -r requirements.txt
# 4. Run the notebook
jupyter notebook Animal_Classification.ipynb