Sheikh Md Ripon, Hossain Md Anwar, Hossain Moazzem, Islam Md Masudul, Himel Galib Muhammad Shahriar
Department of Computer Science and Engineering, Bangladesh University of Business and Technology (BUBT), Dhaka, Bangladesh.
Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.
Data Brief. 2024 May 11;54:110513. doi: 10.1016/j.dib.2024.110513. eCollection 2024 Jun.
This article introduces a primary dataset sourced from diverse marketplaces in Bangladesh, encompassing six distinct banana varieties predominantly consumed locally. The dataset comprises the following banana types: . High-resolution images of bananas from each category were acquired using a smartphone camera. A total of 1166 images were captured but did not maintain a uniform distribution. Only the augmented data has 1000 images per category which is a total of 6000 images. The proposed dataset exhibits substantial potential for impact and utility, offering a range of attributes, including but not limited to the representation of six diverse banana varieties, each possessing unique flavors and holding promise for various applications within the agriculture and food manufacturing industries.
本文介绍了一个主要数据集,其来源是孟加拉国不同的市场,涵盖了六种主要在当地消费的不同香蕉品种。该数据集包括以下香蕉类型:使用智能手机摄像头获取了每个类别的香蕉高分辨率图像。总共拍摄了1166张图像,但分布并不均匀。只有增强后的数据每个类别有1000张图像,总共6000张图像。所提出的数据集具有巨大的影响力和实用性潜力,提供了一系列属性,包括但不限于六种不同香蕉品种的代表性,每种香蕉都有独特的风味,并有望在农业和食品制造业中有各种应用。