{"url":"/dataset/dex-net-2-0","name":"Dex-Net 2.0","full_name":"Dexterity Network 2.0","description_markdown":"**Dex-Net 2.0** is a dataset associating 6.7 million point clouds and analytic grasp quality metrics with parallel-jaw grasps planned using robust quasi-static GWS analysis on a dataset of 1,500 3D object models.","description_withheld":null,"homepage":"http://berkeleyautomation.github.io/dex-net/","introduced_date":"2017-03-27","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics","first_author":null,"url":null},"license":null,"modalities":[{"name":"Point cloud","url":"/datasets/modality/point-cloud"}],"tasks":[{"name":"Robotic Grasping","url":"/task/robotic-grasping","datasets_with_task":"/datasets/task/robotic-grasping"}],"languages":[],"variants":["Dex-Net 2.0"],"data_loaders":[],"num_papers_in_archive":30,"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."}