FYPagriculture

Agriculture product

Object Detection

Agriculture product 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{
                            agriculture-product_dataset,
                            title = { Agriculture product Dataset },
                            type = { Open Source Dataset },
                            author = { FYPagriculture },
                            howpublished = { \url{ https://universe.roboflow.com/fypagriculture-wwakt/agriculture-product } },
                            url = { https://universe.roboflow.com/fypagriculture-wwakt/agriculture-product },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-03 },
                            }
                        

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Find utilities and guides to help you start using the Agriculture product project in your project.

Last Updated

a year ago

Project Type

Object Detection

Subject

fruit-or-vegetables

Views: 76

Views in previous 30 days: 5

Downloads: 2

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

Yellow-Onion agata_potato apple asterix_potato banana cashew cherry coconut cucumber diamond_peach fuji_apple granny_smith_apple grape half onion honeydew_melon kiwi melon nectarine onion orange peach pear pineapple plum pomegranate spanish_pear strawberry taiti_lime watermelon