{"url":"/dataset/trashcan","name":"TrashCan","full_name":null,"description_markdown":"The TrashCan dataset is an instance-segmentation dataset of underwater trash. It is comprised of annotated images (7,212 images) which contain observations of trash, ROVs, and a wide variety of undersea flora and fauna. The annotations in this dataset take the format of instance segmentation annotations: bitmaps containing a mask marking which pixels in the image contain each object. The imagery in TrashCan is sourced from the J-EDI (JAMSTEC E-Library of Deep-sea Images) dataset, curated by the Japan Agency of Marine Earth Science and Technology (JAMSTEC). \r\n\r\nSource: [TrashCan 1.0 An Instance-Segmentation Labeled Dataset of Trash Observations](https://conservancy.umn.edu/handle/11299/214865)\r\nImage Source: [https://conservancy.umn.edu/handle/11299/214865](https://conservancy.umn.edu/handle/11299/214865)","description_withheld":null,"homepage":"https://conservancy.umn.edu/handle/11299/214865","introduced_date":"2020-07-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/trashcan-a-semantically-segmented-dataset","title":"TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris","first_author":"Jungseok Hong","url":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"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"}],"languages":[],"variants":["TrashCan"],"data_loaders":[],"num_papers_in_archive":12,"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."}