uqtwei2/PlantWild

Existing deep-learning methods have achieved remarkable performance in recognizing in-laboratory plant disease images. However, their performance often significantly degrades in classifying in-the-wild images. Furthermore, we observed that in-the-wild plant images may exhibit similar appearances across various diseases (i.e., small inter-class discrepancy) while the same diseases may look quite different (i.e., large intra-class variance). Motivated by this observation, we propose an… See the full description on the dataset page: https://huggingface.co/datasets/uqtwei2/PlantWild.

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