{"url":"/dataset/isbnet","name":"ISBNet","full_name":null,"description_markdown":"ISBNet is a dataset of images of recyclables. It is hand collected by our group at the International School of Beijing. The trash in these images was gathered from trash bins around the school. ISBNet totals 889 images distributed across 5 classes: cans (74), landfill (410), paper (182), plastic (122), and tetra pak (101). The data acquisition process involved using a piece of black poster paper as a background; this would create enough contrast for trash belonging to the paper category. These pictures were taken with an iPhone 8 and an iPhone XS. We recorded the trash bin in which the piece of trash originated from and any trash generating landmarks nearby.  Please refer to the paper (ThanosNet: A Novel Trash Classification Method Using Metadata) for more about the format of the metadata.","description_withheld":null,"homepage":"","introduced_date":"2021-03-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/thanosnet-a-novel-trash-classification-method","title":"ThanosNet: A Novel Trash Classification Method Using Metadata","first_author":"Alan Sun","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ISBNet"],"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/image-classification-on-isbnet","task":"Image Classification","dataset_variant":"ISBNet","rows":1,"metrics":["Macro F1"],"first_row_in_archive_order":{"model":"ThanosNet","paper":"/paper/thanosnet-a-novel-trash-classification-method","metrics":{"Macro F1":"0.952"},"code_links":[{"title":"alansun17904/smart-trash","url":"https://github.com/alansun17904/smart-trash"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/thanosnet-a-novel-trash-classification-method","title":"ThanosNet: A Novel Trash Classification Method Using Metadata","date":"2021-03-19","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."}