Tomato Leaf Image Dataset (TLID/PTLID)

Published: 14 May 2025| Version 2 | DOI: 10.17632/kt64b2kh89.2
Contributors:
Marcelo Pellenz, Grasielli Barreto Zimmermann, Alceu de Souza Britto Jr., Yandre M. G. Costa

Description

Tomato Cultivation in Greenhouses - This is a new dataset with images of tomato leaves grown in greenhouses, containing healthy and diseased leaves images. The dataset is divided into two parts. The first one is called Tomato Leaf Image Dataset (TLID), and it has 15,260 images of size 256×256 pixels. The dataset includes seven classes of images: Healthy, Leaf Miner, Powdery Mildew, Bacterial Spot, Whitefly, Powdery Mildew and Leaf Miner, and Bacterial Spot and Leaf Miner. The second part, the Patch-based Tomato Leaf Image Dataset (PTLID), has the patch images of the TLID. For this, we subdivided each image leaf of the TLID dataset into 64 patch images with a size of 32×32 pixels. Cite this published paper: https://doi.org/10.5753/jbcs.2025.4581

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Institutions

  • Pontificia Universidade Catolica do Parana
  • Universidade Estadual de Ponta Grossa
  • Universidade Estadual de Maringa

Categories

Disease, Precision Agriculture, Greenhouse Crops, Tomato, Applied Machine Learning

Funders

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