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Project-AgML
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iNatAg

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Image Classification

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jmearles commited on Mar 31

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 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.
-iNatAg is also released as part of the [AgML](https://github.com/Project-AgML/AgML) dataset collection, with support for filtering by species, genus, or family and direct data loading through a streamlined API.
 ## Installation
 To install the latest release of AgML, run the following command:

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 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.
+iNatAg is also released as part of the [AgML](https://github.com/Project-AgML/AgML) dataset collection, with support for filtering by species, genus, or family and direct data loading through a streamlined API. The associated paper can be found at https://www.arxiv.org/abs/2503.20068.
 ## Installation
 To install the latest release of AgML, run the following command: