Project-AgML/iNatAg

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. We also developed a subset of the iNatAg dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/iNatAg.

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