{"url":"/dataset/deeptrash","name":"DeepTrash","full_name":null,"description_markdown":"","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/1tk4HDftOVzmROHpkWRUIwL0Gu_p2E-qa?usp=sharing","introduced_date":"2021-05-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/deepplastic-a-novel-approach-to-detecting","title":"A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models","first_author":"Gautam Tata","url":null},"license":null,"modalities":[],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[],"variants":["DeepTrash"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/object-detection-on-deeptrash","task":"Object Detection","dataset_variant":"DeepTrash","rows":1,"metrics":["mAP"],"first_row_in_archive_order":{"model":"YOLOv5","paper":"/paper/deepplastic-a-novel-approach-to-detecting","metrics":{"mAP":"0.856"},"code_links":[{"title":"gautamtata/DeepPlastic","url":"https://github.com/gautamtata/DeepPlastic"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/deepplastic-a-novel-approach-to-detecting","title":"A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models","date":"2021-05-05","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}