Food and Vegetable DetectionYolo Computer Vision Project
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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-and-vegetable-detectionyolo_dataset,
title = { Food and Vegetable DetectionYolo Dataset },
type = { Open Source Dataset },
author = { Fruit and Vegetable Objection by Yolo },
howpublished = { \url{ https://universe.roboflow.com/fruit-and-vegetable-objection-by-yolo/food-and-vegetable-detectionyolo } },
url = { https://universe.roboflow.com/fruit-and-vegetable-objection-by-yolo/food-and-vegetable-detectionyolo },
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 and Vegetable DetectionYolo project in your project.
chocolate
3333 images
Fruits-and-Vegetables
2092 images
fruits-L8Wm-hLzB
2358 images
fruits-L8Wm
2358 images
fruits-L8Wm-tk1H
1790 images