{"url":"/dataset/forward-looking-sonar-marine-debris-datasets","name":"Forward-Looking Sonar Marine Debris Datasets","full_name":null,"description_markdown":"This dataset is made up of forward-looking sonar images containing ten classes of underwater debris. The dataset can be used for segmentation or object detection. Applications include training computer vision models for underwater robotics applications.","description_withheld":null,"homepage":"https://github.com/mvaldenegro/marine-debris-fls-datasets/releases/tag/watertank-v1.0","introduced_date":"2021-08-15","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[],"variants":["Forward-Looking Sonar Marine Debris Datasets"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-forward-looking","task":"Semantic Segmentation","dataset_variant":"Forward-Looking Sonar Marine Debris Datasets","rows":1,"metrics":["mIOU"],"first_row_in_archive_order":{"model":"Unet+RN34","paper":"/paper/the-marine-debris-dataset-for-forward-looking","metrics":{"mIOU":"0.7481"},"code_links":[{"title":"mvaldenegro/marine-debris-fls-datasets","url":"https://github.com/mvaldenegro/marine-debris-fls-datasets"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/the-marine-debris-dataset-for-forward-looking","title":"The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation","date":"2021-08-15","rows_on_this_dataset":1,"code_links":1,"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."}