2026-10-16T00:57:07Z https://data.mendeley.com/oai

oai:data.mendeley.com/2fgv99854n.1 2024-06-03T12:39:23Z

Matin, Md Mafiul Hasan An Extensive Image Dataset for Classifying Rice Varieties in Bangladesh Mendeley Data 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. Computer Vision Image Processing Machine Learning Rice Image Classification Deep Learning Tahsin, Md Matin , Md. Mafiul Hasan Khandaker, Mashrufa Reemu, Redita Sultana Arnab , Mehrab Islam Rashid, Mohammad Rifat Ahmmad Rasel, Md Mostofa Kamal Islam, Mohammad Manzurul Islam, Maheen Ali, Sawkat Dataset doi:10.17632/2fgv99854n.1 oai:data.mendeley.com/2fgv99854n.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/2fgv99854n 2024-06-03T12:39:23Z