smart-refrigerator-quality-and-qunatity-1 Computer Vision Project
TRY THIS MODEL
Drop an image or
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{
smart-refrigerator-quality-and-qunatity-1_dataset,
title = { smart-refrigerator-quality-and-qunatity-1 Dataset },
type = { Open Source Dataset },
author = { finalyearproject },
howpublished = { \url{ https://universe.roboflow.com/finalyearproject-6vdvv/smart-refrigerator-quality-and-qunatity-1 } },
url = { https://universe.roboflow.com/finalyearproject-6vdvv/smart-refrigerator-quality-and-qunatity-1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-05-14 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the smart-refrigerator-quality-and-qunatity-1 project in your project.
apple-orange-banana
1206 images
Mango-Orange-Apple-Watermelon
4434 images
tomatoes
9792 images
Fruit
2217 images
Ingredients
4582 images