Surfboard vs Boogieboard Image Classifier 🏄‍♂️🏖️

A deep learning image classifier trained to distinguish between surfboards and boogie boards using TensorFlow and Keras.

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Project Overview

This project uses a convolutional neural network (CNN) trained on a custom dataset of surfboards and boogie boards. The model takes in an image and predicts whether it's a boogie board or surfboard, along with the prediction confidence.

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Technologies Used

• Python
• TensorFlow / Keras
• NumPy, Pillow
• Anaconda & VS Code

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Project Structure

SurfVsBoogieClassifier/
├── train.py         # Script to train the CNN model
├── predict.py       # Script to predict a new image
├── model.h5         # Trained model (included for testing)
├── data/            # Contains 'train' and 'test' image folders
│   ├── train/
│   │   ├── boogies/
│   │   └── surfboards/
│   └── test/
│       ├── boogies/
│       └── surfboards/
├── .gitignore       # Ignores model and cache files
└── README.md        # Project overview and usage