Food 101 & Allergen 30 Computer Vision Project

UFCSPA

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Description

Project Overview

This project focuses on developing a Deep Learning model to recognize allergens in food image datasets. The main goal is to enhance food safety for allergy sufferers by providing a means to identify potential allergens in various foods accurately. This is increasingly important as food allergies affect a significant portion of the population, and the clarity of allergen information on food labels remains insufficient.

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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            food-101-allergen-30_dataset,
                            title = { Food 101 & Allergen 30 Dataset },
                            type = { Open Source Dataset },
                            author = { UFCSPA },
                            howpublished = { \url{ https://universe.roboflow.com/ufcspa/food-101-allergen-30 } },
                            url = { https://universe.roboflow.com/ufcspa/food-101-allergen-30 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { dec },
                            note = { visited on 2024-12-26 },
                            }