https://github.com/sofiia-chorna/pizza-topping-multilabel-prediction

MI201 - Apprentissage automatique, ENSTA Paris
https://github.com/sofiia-chorna/pizza-topping-multilabel-prediction

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MI201 - Apprentissage automatique, ENSTA Paris

• Host: GitHub
• URL: https://github.com/sofiia-chorna/pizza-topping-multilabel-prediction
• Owner: sofiia-chorna
• Created: 2024-01-21T00:06:09.000Z (10 months ago)
• Default Branch: develop
• Last Pushed: 2024-01-30T09:04:48.000Z (9 months ago)
• Last Synced: 2024-01-31T03:35:31.580Z (9 months ago)
• Language: Jupyter Notebook
• Size: 8.73 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🍕 Pizza Toppings Detection Project

## Overview

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.

## Status

* 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)_

## Dataset

**Synthetic Pizza Images:** A collection of images showcasing pizzas with different toppings.

## Author

[Sofiia Chorna](https://github.com/sofiia-chorna)