{"url":"/dataset/shelf-tote","name":"Shelf&Tote Benchmark Dataset","full_name":"MIT-Princeton Amazon Picking Challenge 2016 Shelf&Tote Benchmark 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":[],"languages":[],"variants":["Shelf&Tote Benchmark Dataset"],"data_loaders":[],"num_papers_in_archive":2,"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."}