PLDD-UP: Potato Leaf Disease Dataset from Uttar Pradesh, India.

Published: 20 April 2026| Version 1 | DOI: 10.17632/3j4nfkvp2n.1
Contributors:
Prakash Kumar Singh,
,
,
, Aseem Chandel

Description

The dataset comprises images collected from operational potato fields in the regions of Mainpuri, Etawah, and Jaswantnagar in Uttar Pradesh, areas well known for extensive potato cultivation. The images are stored in both JPEG and PNG formats to ensure compatibility with diverse imaging devices. Importantly, all images have been preserved in their original resolutions to retain maximum visual detail. the images were categorized into three classes with folder name: EB(4,803), LB(6,116) and Healthy (4,600). Ambiguous cases were carefully re-evaluated to maintain consistency. The dataset consists of 15,519 real-world images captured during the Rabi season (October 2025 to March 2026) using digital cameras and smartphones under natural lighting at different times of the day.

Files

Steps to reproduce

The photographs are collected during the Rabi cultivation period (October 2025 - March 2026) via digital cameras(Nikon D5300) and smart phones (minimum 12 MP) with natural daylight condition. These photographs have been collected at various times of the day such as morning, evening, and afternoon in order to account for varying levels of lighting and shadows.

Categories

Deep Learning, Agriculture

Funders

  • The Council of Science and Technology, Uttar Pradesh (CSTUP)
    Grant ID: 3790 Ref No. CST/D-1640 dated 12.11.2024

Licence