Project-AgML/iNatAg

iNatAg是一个从iNaturalist派生出来的大规模图像分类数据集，专为农业和生态应用中的物种分类以及作物与杂草分类而设计。该数据集包含2959个物种，其中包括1986个作物物种和973个杂草物种，共有4720903张图像，是植物物种识别和分类领域可供使用的大型、多样化的数据集之一。iNatAg is a large-scale image classification dataset derived from iNaturalist, designed for species classification and crop/weed classification in agricultural and ecological applications. It contains 2,959 species, including 1,986 crop species and 973 weed species, with a total of 4,720,903 images, making it one of the largest and most diverse datasets available for plant species identification and classification.