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PlantTom is a balanced dataset of 7,836 tomato leaf disease images across 8 distinct classes, compiled from various public sources to address class imbalance. The associated XLS file contains the training and validation parameter settings for the LeafDet object detection model, which is based on YOLOv8 architecture. The dataset and model were authored by Vaskor Mostafa and last updated on 2026-05 22.
License is CC-BY-4.0, requiring attribution. The primary dataset (PlantTom images) is not included in this 5.5 KB XLS file, which only contains parameters.