vegetables Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Smart Grocery Shopping: Retail stores or supermarkets can use this model for automated checkout systems. Customers point out the vegetables, and the system identifies their type, speeding up the checkout process.
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Agricultural Analysis: Farmers can use the model to detect and classify vegetables on-site for efficient harvest planning, quality control, or studying crop health with live stream videos from drones or IoT devices.
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Diet Tracking: Health or dieting apps can integrate this model to identify the type of vegetables users are consuming, facilitating automated nutritional analysis and meal tracking.
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Vegetation Research: Botanists and biologists can apply the model to identify and classify vegetable samples in field research, improving studies in biodiversity, ecosystems, and plant physiology.
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Educational Tools: An educational app or program for children or students learning about vegetables could use this model to provide real-time identification, enhancing interactivity and engagement.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vegetables-fozzg_dataset,
title = { vegetables Dataset },
type = { Open Source Dataset },
author = { denismaestrox },
howpublished = { \url{ https://universe.roboflow.com/denismaestrox/vegetables-fozzg } },
url = { https://universe.roboflow.com/denismaestrox/vegetables-fozzg },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-12-31 },
}