UFCSPA

Food 101 & Allergen 30

Object Detection

Roboflow Universe UFCSPA Food 101 & Allergen 30

Food 101 & Allergen 30 Computer Vision Project

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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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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 = { jun },
                            note = { visited on 2024-06-24 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Food 101 & Allergen 30 project in your project.

Source

UFCSPA

Last Updated

13 minutes ago

Project Type

Object Detection

Subject

food

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Views in previous 30 days: 9

Downloads: 1

Downloads in previous 30 days: 1

License

CC BY 4.0

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