{"url":"/dataset/egad","name":"EGAD","full_name":"Evolved Grasping Analysis Dataset","description_markdown":"The Evolved Grasping Analysis Dataset (EGAD) comprises over 2000 generated objects aimed at training and evaluating robotic visual grasp detection algorithms. The objects in EGAD are geometrically diverse, filling a space ranging from simple to complex shapes and from easy to difficult to grasp, compared to other datasets for robotic grasping, which may be limited in size or contain only a small number of object classes.","description_withheld":null,"homepage":"https://dougsm.github.io/egad/","introduced_date":"2020-03-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/egad-an-evolved-grasping-analysis-dataset-for","title":"EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation","first_author":null,"url":null},"license":null,"modalities":[],"tasks":[{"name":"Robotic Grasping","url":"/task/robotic-grasping","datasets_with_task":"/datasets/task/robotic-grasping"}],"languages":[],"variants":["EGAD"],"data_loaders":[],"num_papers_in_archive":31,"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."}