Monocot and Dicot Leaf Images with Leaf Vein Structural Properties

Published: 21 July 2025| Version 1 | DOI: 10.17632/49x9nbntbc.1
Contributor:
Sharder Mahamud

Description

The entire dataset contains a total of 60000 images. Monocotyledonous contains 24000 images for 3 Classes and Dicotyledonous contains 36000 images for 4 classes. For every species, there are 6 different types of images, namely front-young, front-middle-aged, front-old, reverse-young, reverse-middle-aged, and reverse-old. The 7 classes and their dataset iamges numbers are, Dicot_Cucurbita ------> 9000 images Dicot_Mangifera ------> 9000 images Dicot_Neolamarckia ------> 9000 images Dicot_Psidium ------> 9000 images Monocot_Cocos ------> 9000 images Monocot_Eichhornia ------> 9000 images Monocot_Musa ------> 6000 images

Files

Institutions

  • Khulna University

Categories

Computer Science, Computer Vision, Botany, Deep Neural Network, Transfer Learning

Licence