Datasets › eAppleScab
eAppleScab (Apple Scab in the Early Stage of Development)
The study showed that the apple scab can be detected in the high-resolution RGB images in an early stage of its development. If two datasets, the early and advanced stages, are grouped together, the scab in the early stage is not visible after image resizing for CNN inputs 200-500px.
The dataset contains classified images 525x525px saved in three folders: "Background", "Healthy" and "Scab" to identify their categories.
Dataset is available: https://www.kaggle.com/datasets/projectlzp201910094/eapplescab
Dataset was presented in the paper: S.Kodors, G.Lācis, I.Moročko-Bičevska, I.Zarembo, O.Sokolova, T.Bartulsons, I.Apeināns and V.Žukovs. "Apple Scab Detection in the Early Stage of Disease Using a Convolutional Neural Network" Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences., vol.76, no.4, 2022, pp.482-487. https://doi.org/10.2478/prolas-2022-0074
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Variants archive 2025-07-28
- eAppleScab
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