{"url":"/dataset/fishnet-open-images","name":"Fishnet Open Images","full_name":null,"description_markdown":"**Fishnet Open Images Database** is a large dataset of EM imagery for fish detection and fine-grained categorisation onboard commercial fishing vessels. The dataset consists of 86,029 images containing 34 object classes, making it the largest and most diverse public dataset of fisheries EM imagery to-date. It includes many of the characteristic challenges of EM data: visual similarity between species, skewed class distributions, harsh weather conditions, and chaotic crew activity.","description_withheld":null,"homepage":"https://www.fishnet.ai/","introduced_date":"2021-06-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-fishnet-open-images-database-a-dataset","title":"The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries","first_author":"Justin Kay","url":null},"license":{"name":"Custom","url":"https://www.fishnet.ai/terms-of-use"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Fish Detection","url":"/task/fish-detection","datasets_with_task":"/datasets/task/fish-detection"}],"languages":[],"variants":["Fishnet Open Images"],"data_loaders":[],"num_papers_in_archive":3,"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."}