{"url":"/dataset/shelf-tote-training-dataset","name":"Shelf&Tote Training Dataset","full_name":"MIT-Princeton Amazon Picking Challenge 2016 Shelf&Tote Training Dataset","description_markdown":"","description_withheld":null,"homepage":"http://apc.cs.princeton.edu","introduced_date":"2016-09-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-view-self-supervised-deep-learning-for","title":"Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge","first_author":"Andy Zeng","url":null},"license":null,"modalities":[],"tasks":[{"name":"Unsupervised Object Segmentation","url":"/task/unsupervised-object-segmentation","datasets_with_task":"/datasets/task/unsupervised-object-segmentation"}],"languages":[],"variants":["Shelf&Tote Training Dataset"],"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/unsupervised-object-segmentation-on-shelf","task":"Unsupervised Object Segmentation","dataset_variant":"Shelf&Tote Training Dataset","rows":4,"metrics":["ARI"],"first_row_in_archive_order":{"model":"GENESIS-V2","paper":"/paper/genesis-v2-inferring-unordered-object","metrics":{"ARI":"0.55"},"code_links":[{"title":"applied-ai-lab/genesis","url":"https://github.com/applied-ai-lab/genesis"},{"title":"jinyangyuan/genesis","url":"https://github.com/jinyangyuan/genesis"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/genesis-v2-inferring-unordered-object","title":"GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement","date":"2021-04-20","rows_on_this_dataset":4,"code_links":2,"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."}