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PlantaNetLite is a training result summary for a plant disease classification framework evaluated on a curated dataset of approximately 45,000 images across 51 disease and healthy classes. The dataset was aggregated from multiple public repositories and expanded through augmentation. The results, authored by Md. Sifat Haque Zidan, were last updated on 2026-04 24.
The 5.5 KB XLS file likely contains summary metrics, not the image dataset itself.