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A revised dataset of 7,836 images representing 8 distinct tomato leaf disease classes, created by combining images from various public sources to address class imbalance. The dataset was developed by Vaskor Mostafa and last updated on 2026-05-22. It is intended for training and testing object detection models in smart agriculture applications.
The primary data format is listed as XLS (Excel), which is unusual for an image dataset; the 5.5 KB size indicates this file likely contains metadata, annotations, or a manifest, not the images themselves.