Mango Shelf-Life Dataset

Published: 5 April 2024| Version 1 | DOI: 10.17632/rk4mm635rn.1
Contributors:
Syed Wajahat Mashkoor,

Description

This dataset contains images of Pakistani mango variety named White Chaunsa Late. An experiment was performed on the proposed dataset for automated classification for assessing the ripeness level of harvested mangoes. Deep Learning algorithms including Convolutional Neural Network and Artificial Neural Network were used to achieve high accuracy. Researchers and students are encouraged to utilize this dataset for the development, testing, and evaluation of various computer vision algorithms aimed at enhancing the agricultural sector. The provided dataset can be consider as a benchmark for testing and comparing the performance of different state-of-the-arts. We have collected this dataset from local markets of Multan and captured images over different timespan.

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Institutions

Muhammad Nawaz Shareef University of Agriculture

Categories

Fruit, Mango

Licence