Indian Rice Disease Dataset (IRDD)

Citation Author(s):
Chiranjit
Pal
Indian Institute of Information Technology Kalyani, India
Imon
Mukherjee
Indian Institute of Information Technology Kalyani
Sanjay
Chatterji
Indian Institute of Information Technology Kalyani
Sanjoy
Pratihar
Indian Institute of Information Technology Kalyani
Pabitra
Mitra
IIT Kharagpur
Partha Pratim
Chakrabarti
IIT Kharagpur
Submitted by:
CHIRANJIT PAL
Last updated:
Mon, 07/08/2024 - 15:58
DOI:
10.21227/4rmf-gd63
License:
Creative Commons Attribution
325 Views
Categories:
Machine Learning
Computer Vision
Keywords:
RGB-colored; deep learning; Agriculture; Visual dataset; Automated harvesting; Paddy Disease classification;
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Abstract 

Indian Rice Disease dataset (IRDD) contains rice leaf images of two classes namely BrownSpot and Healthy. The images are taken under various lightning conditions. Some images contain dew drops on the leaves. The rice leaf images are gatherd from fields in West Bengal, India. These images have been taken using smartphone camera by the  project team members of IIIT Kalyani and IIT Kharagpur. The images are annotated and verified by the domain experts. This datset is a part of the project entitled "AI for  Agriculture and Food Sustainability" funded by MeitY, Govt of India. We have uploaded the samples of IRDD. Full dataset will be available soon.

 

 

Instructions: 

This is RGB images. Annodation is done on CSV file  where all labels are performed carefully. The CSV file contains the name of the file

Funding Agency: 
MeitY

Comments

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Submitted by bvjs fjsjbj on Wed, 09/18/2024 - 09:54

Thanks

Submitted by Wilson Adrian D... on Thu, 09/19/2024 - 01:53

thanks, 504952224@qq.com

Submitted by YINGAN SHAO on Mon, 11/25/2024 - 08:25

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Submitted by Abhilash Kasidi on Fri, 12/20/2024 - 15:58

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Submitted by Abhilash Kasidi on Fri, 12/20/2024 - 15:58

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