{"url":"/dataset/bioscan-1m-insect-dataset","name":"BIOSCAN_1M_Insect Dataset","full_name":null,"description_markdown":"In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-1M Insect Dataset. Each record is taxonomically classified by an expert, and also has associated genetic information including raw nucleotide barcode sequences and assigned barcode index numbers, which are genetically-based proxies for species classification. This dataset contains a curated million-image dataset, primarily to train computer-vision models capable of providing image-based taxonomic assessment, however, the dataset also presents compelling characteristics, the study of which would be of interest to the broader machine learning community. Driven by the biological nature inherent to the dataset, a characteristic long-tailed class-imbalance distribution is exhibited. Furthermore, taxonomic labelling is a hierarchical classification scheme, presenting a highly fine-grained classification problem at lower levels. Beyond spurring interest in biodiversity research within the machine learning community, progress on creating an image-based taxonomic classifier will also further the ultimate goal of all BIOSCAN research: to lay the foundation for a comprehensive survey of global biodiversity.","description_withheld":null,"homepage":"https://biodiversitygenomics.net/1M_insects/","introduced_date":"2023-07-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-step-towards-worldwide-biodiversity","title":"A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset","first_author":"Zahra Gharaee","url":null},"license":{"name":"Creative Commons-Attribution Non-Commercial Share-Alike","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["BIOSCAN_1M_Insect Dataset"],"data_loaders":[{"repo":"https://github.com/zahrag/BIOSCAN-1M","url":"https://github.com/zahrag/BIOSCAN-1M","frameworks":["pytorch"]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/classification-on-bioscan-1m-insect-dataset","task":"Classification","dataset_variant":"BIOSCAN_1M_Insect Dataset","rows":2,"metrics":["Macro F1"],"first_row_in_archive_order":{"model":"BIOSCAN_1M_order_classifier","paper":"/paper/a-step-towards-worldwide-biodiversity","metrics":{"Macro F1":"92.65"},"code_links":[{"title":"zahrag/BIOSCAN-1M","url":"https://github.com/zahrag/BIOSCAN-1M"},{"title":"bioscan-ml/dataset","url":"https://github.com/bioscan-ml/dataset"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-step-towards-worldwide-biodiversity","title":"A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset","date":"2023-07-19","rows_on_this_dataset":2,"code_links":2,"syntology":null}],"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."}