{"url":"/dataset/geolifeclef-2020","name":"GeoLifeCLEF 2020","full_name":null,"description_markdown":"The GeoLifeCLEF 2020 dataset is a large-scale remote sensing dataset. More specifically, it consists of 1.9 million species observations from the community science platform iNaturalist, each of which is paired with high-resolution covariates (RGB-IR imagery, land cover, and altitude). The dataset is roughly evenly split between the US and France, and covers over 31k plant and animal species.","description_withheld":null,"homepage":"http://lila.science/datasets/geolifeclef-2020/","introduced_date":"2020-04-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-geolifeclef-2020-dataset","title":"The GeoLifeCLEF 2020 Dataset","first_author":"Elijah Cole","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["GeoLifeCLEF 2020"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}