Fruitectives Computer Vision Project

Fruitectives Team

Updated 18 days ago

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Classes (32)
Apple Overripe
Apple Ripe
Apple Rotten
Apple Unripe
Banana Overripe
Banana Ripe
Banana Rotten
Banana Unripe
Grape Overripe
Grape Ripe
Grape Rotten
Grape Unripe
Mango Overripe
Mango Ripe
Mango Rotten
Mango Unripe
Melon Overripe
Melon Ripe
Melon Rotten
Melon Unripe
Orange Overripe
Orange Ripe
Orange Rotten
Orange Unripe
Peach Overripe
Peach Ripe
Peach Rotten
Peach Unripe
Pear Overripe
Pear Ripe
Pear Rotten
Pear Unripe

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Description

Fruit Ripeness Evaluation: The API will assess the color, texture, and other surface characteristics of specific fruits to determine their ripeness stage (Ripe, Rotten, Unripe, or Overripe).

Target Fruits: This functionality is designed explicitly for specific tropical and temperate fruits that are common nutritional fruit crops, namely, Lakatan Bananas, Carabao Mangoes, Red Apples, Cantaloupe Melons, D'Anjou Pears, Oranges, Peaches, and Concord Grapes.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            fruitectives_dataset,
                            title = { Fruitectives Dataset },
                            type = { Open Source Dataset },
                            author = { Fruitectives Team },
                            howpublished = { \url{ https://universe.roboflow.com/fruitectives-team/fruitectives } },
                            url = { https://universe.roboflow.com/fruitectives-team/fruitectives },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-10-04 },
                            }