iNatAg

Overview

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.

List iNatAg datasets

from pprint import pprint
import agml

print(agml.data.public_data_sources(parent_dataset='iNatAg'))

Loading iNatAg dataset

You can start off by using the AgMLDataLoader to download and load an iNatAg dataset into a container:

loader = agml.data.AgMLDataLoader('iNatAg/sorghum_bicolor')
loader.info.summary()

Examples

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