Project-AgML/iNatAg-mini

iNatAg是一个从iNaturalist数据集派生的大型数据集，用于物种分类和农业及生态应用中的农作物/杂草分类。它包含2959个物种，细分为1986个农作物物种和973个杂草物种。数据集共有4,720,903张图像，是可用于植物物种识别和分类的最大和最多样化的数据集之一。此外，还开发了一个名为iNatAg-mini的子数据集，包含560,844张图像，适用于小型应用场景。

iNatAg is a large-scale dataset derived from the iNaturalist dataset, designed for species classification and crop/weed classification in agricultural and ecological applications. It consists of 2,959 species with a breakdown of 1,986 crop species and 973 weed species. The dataset contains a total of 4,720,903 images, making it one of the largest and most diverse datasets available for plant species identification and classification. Additionally, a subset called iNatAg-mini has been developed, containing 560,844 images for smaller-scale applications.