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:: Tue, 08/12/2025 - 15:03
DOI:: 10.21227/4rmf-gd63

1085 views

Categories:

Keywords:

RGB-colored; deep learning; Agriculture; Visual dataset; Automated harvesting; Paddy Disease classification;

ACCESS DATASET CITE

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.