vegetables Object Detection Dataset and Pre-Trained Model by denismaestrox

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Explore Dataset

Here are a few use cases for this project:

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.
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.
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.
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.
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.

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{
                            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 2024-06-24 },
                            }