timm/plant-pathology-2021

该数据集来自Plant Pathology 2021 (FGVC8) Challenge，包含了大约23,000张高质量的苹果叶病RGB图像。这些图像反映了真实的田间场景，包括不同成熟阶段和不同时间拍摄的叶片图像。数据集被用于多标签图像分类任务，并且是使用`timm`库的典型示例。

Dataset from the Plant Pathology 2021 (FGVC8) Challenge. This year’s dataset contains approximately 23,000 high-quality RGB images of apple foliar diseases, including a large expert-annotated disease dataset. This dataset reflects real field scenarios by representing non-homogeneous backgrounds of leaf images taken at different maturity stages and at different times of day under different focal camera settings. The dataset is serving as a canonical example for multi-label image classification datasets with `timm`.