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Fruit/Veg Detection 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{ fruit-veg-detection_dataset,
    title = { Fruit/Veg Detection Dataset },
    type = { Open Source Dataset },
    author = { Research },
    howpublished = { \url{ https://universe.roboflow.com/research-iludh/fruit-veg-detection } },
    url = { https://universe.roboflow.com/research-iludh/fruit-veg-detection },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jun },
    note = { visited on 2023-06-08 },
}

Source

Research

Last Updated

3 days ago

Project Type

Object Detection

Subject

Fruits-and-Vegetables

Classes

10_apple, 10_apricot, 10_avocado, 10_banana, 10_cantaloupe, 10_grapefruit, 10_guava, 10_lemon, 10_mango, 10_nectarine, 10_orange, 10_papaya, 10_passionfruit, 10_pineapple, 10_pumpkin, 10_tangerine, 1_onions, 1_potato, 1_sweetpotato, 1_yam, 2_whitebeans, 8_spinach, 9_okra, banana, cabbagehead, carrot, cassava_leaves, eggplant, grapefruit, greenbeans, plantains, tomato, watermelon

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License

CC BY 4.0