This project focuses on pizza toppings detection using various machine learning and deep learning models. The dataset consists of synthetic pizza images, and we explore different methodologies for feature extraction and multilabel prediction.
- Data preparation + some statistics about data (OK)
- CNN (OK)
- EfficientNet (OK)
- Feature Extraction (OK)
- ResNet + Classifier
- Random Forest (OK)
- Perceptron (OK)
- Compare it with CLAP OpenAI (TODO)
- Bonus: Deep learning
- Bonus: Same with the real images
(comment: use all methods learned in TDs)
Synthetic Pizza Images: A collection of images showcasing pizzas with different toppings.