Roboflow Universe Rihab Vegan food finder

Vegan food finder Computer Vision Project

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113 images

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Project overview

This project, as its names tells, is an object detection project to classifiy vegan food 🌱 and omnivore food 🍗.
The data is colleced manually and annotated using Roboflow.

A step-by-step guide of the implementation of the project is on GitHub: https://github.com/RihabFekii/vegan-food-classifier

Data

The original dataset has 113 image of dishes (some with one individual plate and some with multiple plates) with 178 objects annotated.
The dataset has two classes: vegan(90) & omnivore(88).
There are two versions of trained models available on Roboflow where same data-augmentation techniques were applied to the dataset.

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{
                            vegan-food-finder_dataset,
                            title = { Vegan food finder Dataset },
                            type = { Open Source Dataset },
                            author = { Rihab },
                            howpublished = { \url{ https://universe.roboflow.com/rihab-bzsjy/vegan-food-finder } },
                            url = { https://universe.roboflow.com/rihab-bzsjy/vegan-food-finder },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-26 },
                            }