2026-10-15T22:30:01Z https://data.mendeley.com/oai

oai:data.mendeley.com/w8kh2xkspx.4 2026-05-26T07:27:04Z

khan, Muhammad Sheraz Khan PlantCity: A Comprehensive Image Based on Multi Crop Leaves disease in Pakistan. Mendeley Data Paper link: https://www.sciencedirect.com/science/article/pii/S2352340925008510 Citation: Khan, M. S., Nisa, K., Ahmad, I., Zubair, M., & Alshammari, K. (2025). PlantCity: A Comprehensive Image Based on Multi Crop Leaves in Pakistan. Data in Brief, 112130. https://doi.org/10.1016/j.dib.2025.112130 In this work, we present a dataset of 12 crop species Apple, Apricot, Bean, Cherry, Maize, Fig, Grapes, Loquat, Pear, Tomato, Walnut and Persimmons with 52 classes 41 diseases and 11 healthy class. That Dataset include 10667 images and after Augmentation the size of 52219 images, and to avoid overfitting deep learning models, augmentation approaches have been employed to improve the dataset's size and quality. All the dataset have collected in Pakistan from two different districts Chitral and charsadda in real environment. The acquired datasets can be utilized to create several deep learning models for the multiclass crop leaves classification. Agricultural Plant Plant Diseases Leaf Area khan, Muhammad Sheraz Nisa, Kainat ahmad, irshad Dataset doi:10.17632/w8kh2xkspx.4 oai:data.mendeley.com/w8kh2xkspx.4 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/w8kh2xkspx 2026-05-26T07:27:04Z