BDRice: A comprehensive image dataset of bangladeshi rice classification in computer vision applications

This dataset introduces a newly developed dataset named "BDRice" which includes eight different types of rice from various regions in Dhaka city such as Uttara and Mirpur in Bangladesh. The eight different rice species are formerly defined with their local names. These are Mozumder , Mozzammel-Miniket, Utsob Nazir, Mizan ,Haski ,Pyzam, Nabil ,Atash. The dataset contains a total of 2,756 original images, filtered images 920 along with an additional 3,680 augmented images. We meticulously captured each original image under natural lighting conditions with an appropriate background. This comprehensive dataset holds immense potential for researchers in utilizing various ML and DL methods to advance the healthcare sector significantly. It is a valuable resource for future investigations, laying the foundation for crucial developments in these domains.

本数据集介绍了一款全新研发的名为“BDRice”的数据集，其涵盖了孟加拉国达卡市乌塔拉（Uttara）、米尔布尔（Mirpur）等不同区域产出的八种水稻品类。这八种水稻均以其本地名称命名，分别为Mozumder、Mozzammel-Miniket、Utsob Nazir、Mizan、Haski、Pyzam、Nabil及Atash。该数据集总计包含2756张原始图像，其中经筛选的图像为920张，另有3680张增强图像。所有原始图像均在自然光照条件下，搭配适宜的背景进行了精心拍摄。这款全面的数据集具备极高的应用潜力，可为研究人员运用各类机器学习（Machine Learning，ML）与深度学习（Deep Learning，DL）方法开展相关研究提供支撑，进而显著推动医疗保健领域的发展。它是未来相关研究的宝贵资源，为该领域的关键进展奠定了坚实基础。