Top Indian Fruits with quality

INDIA is the second-largest fruit and vegetable exporter in the world after China. It ranked first in the production of Bananas, Papayas, and Mangoes. Public datasets of fruits are available but they are limited to general fruit classes. The main objectives to create this dataset were: 1) Target the top Indian fruits which are exported or highly consumed. 2) Create a dataset for fruit classification with the quality of fruit. 3) Dataset consists of high-quality images.We use mobile phones rear camera to take the images of fruits. The dataset consists of total 12000 images with 12 classes namely, Bad Apple, Good Apple, Bad Banana, Good Banana, Bad Guava, Good Guava, Bad Lime, Good Lime, Bad Orange, Good Orange, Bad Pomegranate, and Good Pomegranate. In the dataset, each class consists of 1000 images of size 256x256. The images had taken with different angles, with different backgrounds, and in different lighting conditions. As we considered the most consumed fruits this dataset is very useful for researchers.

印度是仅次于中国的全球第二大果蔬出口国，其香蕉、木瓜与芒果的产量位列全球首位。目前公开可用的水果数据集多局限于通用水果品类范畴。构建本数据集的核心目标如下：1）聚焦印度出口量领先或消费需求旺盛的主流水果品类；2）构建支持水果品质分类的水果分类数据集；3）提供高质量的图像样本。我们采用手机后置摄像头采集各类水果的图像数据。该数据集总计包含12000张图像，涵盖12个类别，分别为劣质苹果（Bad Apple）、优质苹果（Good Apple）、劣质香蕉（Bad Banana）、优质香蕉（Good Banana）、劣质番石榴（Bad Guava）、优质番石榴（Good Guava）、劣质青柠（Bad Lime）、优质青柠（Good Lime）、劣质橙子（Bad Orange）、优质橙子（Good Orange）、劣质石榴（Bad Pomegranate）以及优质石榴（Good Pomegranate）。数据集中每个类别均包含1000张分辨率为256×256的图像，所有图像均在不同拍摄角度、多样背景环境与各异光照条件下采集完成。由于本数据集选用的均为国民消费量靠前的水果品类，因此可广泛服务于相关领域的研究人员。