This project aims to solve an essential question: Is it a Chipa? "Chipa" is a type of small bread-like baked good that's popular in Paraguay and other parts of South America. Using deep learning, this project classifies images as either "Chipa" or "Donut"
- Utilizes Convolutional Neural Networks (CNNs) for image classification.
- Built on top of the fastai library for quick and efficient training.
- Comes with a pre-trained model, fine-tuned specifically for detecting Chipas.
- Provides a Jupyter Notebook that walks you through the process.
- Clone this repository.
- Install the required dependencies.
- Run the Jupyter Notebook to train the model or use the pre-trained model for inference.
The dataset consists of various images categorized into two classes: "Chipa" and "Not Chipa". For details on the dataset, please refer to the Kaggle page.
- Python 3.x
- fastai
- Jupyter Notebook
This project is open-source and available under the MIT License.