Ripe Unripe Banana Dataset

Published: 10 May 2023| Version 1 | DOI: 10.17632/y3649cmgg6.1
Contributors:
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Description

This dataset of 1340 photos of bananas focuses on identifying ripe and unripe fruit. Each photograph has metadata that identifies whether or not the banana in the image is considered ripe. The data set was gathered in indoor lighting circumstances , to identify ripe and unripe bananas. Each image in this dataset has a YOLO.txt label attached to it. This data can be used to train all YOLO Object Detection models. The dataset has been divided into three sections: Train, Test, and Validation, each of which contains 65%, 20%, and 15% of the total data.

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Steps to reproduce

We have manually collected the above data. Using our webcam, we continuously collected photos using the OPENcv Python library. On a few photographs from the collection, we used image augmentation to expand the dataset.

Institutions

Maharashtra Institute of Technology

Categories

Computer Vision, Object Detection, Object Recognition, Image Classification, Detection System, Deep Learning

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