{"url":"/dataset/objaverse-xl","name":"Objaverse-XL","full_name":null,"description_markdown":"**Objaverse-XL** is an extensive dataset containing **over 10 million 3D objects**. This compilation includes a diverse range of 3D objects sourced from various origins:\r\n\r\n1. **Manually Designed Objects**: These are objects created by human designers.\r\n2. **Photogrammetry Scans**: These scans capture landmarks, everyday items, and even professional scans of historic and antique artifacts.\r\n3. **Professional Scans**: These scans provide detailed representations of historical and valuable objects.\r\n\r\nThe dataset was developed collaboratively by researchers from institutions such as the **Allen Institute for AI**, **University of Washington**, **Columbia University**, **Stability AI**, **LAION**, and **Caltech**¹²³. It's a treasure trove for exploring and advancing 3D modeling, generation, and understanding. Whether you're interested in training models or experimenting with 3D applications, Objaverse-XL offers a rich resource for your endeavors.\r\n\r\n(1) Objaverse-XL. https://objaverse.allenai.org/.\r\n(2) Objaverse-XL: A Universe of 10M+ 3D Objects - Papers With Code. https://paperswithcode.com/paper/objaverse-xl-a-universe-of-10m-3d-objects.\r\n(3) [2307.05663] Objaverse-XL: A Universe of 10M+ 3D Objects - arXiv.org. https://arxiv.org/abs/2307.05663.\r\n(4) allenai/objaverse-xl · Datasets at Hugging Face. https://huggingface.co/datasets/allenai/objaverse-xl.\r\n(5) Objaverse-XL: A Universe of 10M+ 3D Objects. https://papers.nips.cc/paper_files/paper/2023/hash/70364304877b5e767de4e9a2a511be0c-Abstract-Datasets_and_Benchmarks.html.","description_withheld":null,"homepage":"https://objaverse.allenai.org","introduced_date":"2023-07-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/objaverse-xl-a-universe-of-10m-3d-objects","title":"Objaverse-XL: A Universe of 10M+ 3D Objects","first_author":null,"url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Objaverse-XL"],"data_loaders":[],"num_papers_in_archive":42,"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."}