An Extensive Image Dataset for Classifying Rice Varieties in Bangladesh

This dataset contains a carefully collected set of low-resolution images of 38 well-known rice varieties from BINA and IRRI. It helps in identifying the unique features of these rice types for accurate classification.
#Dataset Composition#
The dataset includes images of 38 different types of rice, specifically:
BD33, BD30, BD39, BD56, BD93, BD91, BD49, BD51, BD52, BD76, BD95, BD57, BD87, BD70, BD85, BD72, BD79, BD75, Binadhan7, Binadhan8, Binadhan10, Binadhan11, Binadhan12, Binadhan14, Binadhan16, Binadhan17, Binadhan19, Binadhan20, Binadhan21, Binadhan23, Binadhan24, Binadhan25, Binadhan26, BR22, BR23, BRRI67, BRRI74, and BRRI102.
There are 19,000 original JPG images and 76,000 augmented images in total.
#Image Capture and Dataset Organization#
Images were taken using high-power 1600x and 1000x digital microscope cameras between January 15 and February 28, 2024. The dataset is divided into two main parts: Original images and Augmented images. Each part has 38 folders, one for each rice variety.
#Original Image Dataset#
The main set includes 19,000 JPG images, each sized at 640x480 pixels. The uncompressed file size is 1.52 GB, reduced to 1.47 GB after compression.
#Augmented Image Dataset#
To increase the number of images for deep learning models, data augmentation techniques were used. These include rotations (90° left, 90° right, 180°), shear range and flips, creating 76,000 more images. These images are also in JPG format, sized at 640x480 pixels, and were initially 1.98 GB, reduced to 1.89 GB after compression.
#Dataset Storage and Access#
The raw and augmented datasets are stored in two separate zip files, 'Original.zip' and 'Augmented.zip'. Each zip file contains 38 folders, one for each rice variety mentioned above.

本数据集精心收集了来自孟加拉国核农业研究所（BINA）与国际水稻研究所（IRRI）的38个知名水稻品种的低分辨率图像集，可用于识别各类水稻的独特特征以实现精准分类。
#数据集构成#
本数据集涵盖38种不同水稻的图像，具体包括：BD33、BD30、BD39、BD56、BD93、BD91、BD49、BD51、BD52、BD76、BD95、BD57、BD87、BD70、BD85、BD72、BD79、BD75、Binadhan7、Binadhan8、Binadhan10、Binadhan11、Binadhan12、Binadhan14、Binadhan16、Binadhan17、Binadhan19、Binadhan20、Binadhan21、Binadhan23、Binadhan24、Binadhan25、Binadhan26、BR22、BR23、BRRI67、BRRI74以及BRRI102。
数据集总计包含19000张原始JPG（JPEG）图像与76000张增强图像。
#图像采集与数据集组织#
图像采集于2024年1月15日至2月28日期间，使用高倍率1600倍和1000倍数码显微镜相机拍摄。本数据集分为两大核心部分：原始图像集与增强图像集，每个部分均设有38个文件夹，分别对应上述38个水稻品种。
#原始图像集#
原始图像集共包含19000张JPG（JPEG）格式图像，分辨率为640×480像素。未压缩文件大小为1.52GB，压缩后缩减至1.47GB。
#增强图像集#
为扩充深度学习模型训练所需的图像数量，本数据集采用数据增强技术生成额外样本，具体包括旋转（左90°、右90°、180°）、剪切变换与翻转操作，最终生成76000张增强图像。此类图像同样采用JPG（JPEG）格式，分辨率为640×480像素，未压缩文件初始大小为1.98GB，压缩后缩减至1.89GB。
#数据集存储与获取#
原始数据集与增强数据集分别存储于两个独立压缩包"Original.zip"与"Augmented.zip"中，每个压缩包均包含38个对应上述水稻品种的文件夹。