Image dataset of Neem (Azadirachta Indica) leaf disease

Published: 2 December 2024| Version 3 | DOI: 10.17632/sjtxmcv5d4.3
Contributors:
, Rezwan Islam, Sahara Jaman Omi, Marzan Billah Shefa, Md. Rakibul Hasan, Aritra Das, Nishat Tasnim Niloy, Sawkat Ali, Md. Hasanul Ferdaus, Firoz Mridha

Description

This dataset consists of 2544 colour images of Neem (Azadirachta Indica) leaves collected from various areas in Dhaka, Bangladesh. The images are categorized into two primary groups: healthy and diseased leaves where disease leaves category is sub-divided into further six disease classes. The sample distribution is given below: 1. Alternaria = 191 raw image leaves 2. Dieback = 174 3. Leaf blight = 231 4. Leaf miners = 682 5. Leaf miners_Powdery mildew = 203 6. Powdery mildew = 544 7. Healthy = 519 All images were resized to 640 x 480 pixels. No Augmentation technique was applied to increase samples. Researchers may apply their own augmentation method to increase the dataset for any ML/DL based applications.

Files

Categories

Disease, Leaf Area

Licence