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 and failed to classify the fruits according to the fruit quality. The main objectives to create this dataset were: 1) Target the top six Indian fruits which are exported or highly consumed. 2) Create a dataset for fruit classification with the quality of fruit. 3) Dataset consists of 12000 high-quality images of 12 different classes of fruits.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、木瓜和芒果的产量位居全球第一。当前已存在公开水果数据集，但此类数据集仅覆盖通用水果类别，且未按照水果品质进行分类标注。构建本数据集的核心目标如下：1）聚焦印度出口量最高或消费量最大的六种水果；2）构建可兼顾水果品质的水果分类数据集；3）本数据集包含12个水果类别共计12000张高质量图像。我们采用手机后置摄像头采集水果图像，数据集总计包含12000张图像，涵盖12个类别，分别为：坏苹果（Bad Apple）、好苹果（Good Apple）、坏香蕉（Bad Banana）、好香蕉（Good Banana）、坏番石榴（Bad Guava）、好番石榴（Good Guava）、坏青柠（Bad Lime）、好青柠（Good Lime）、坏橙子（Bad Orange）、好橙子（Good Orange）、坏石榴（Bad Pomegranate）以及好石榴（Good Pomegranate）。数据集中每个类别均包含1000张分辨率为256×256的图像，所采集的图像涵盖不同拍摄角度、背景场景与光照条件。鉴于本数据集选取的均为高消费量水果，因此对相关研究人员具有较高的科研应用价值。