Datasets › Objaverse
Objaverse
Objaverse is a large dataset of objects with 800K+ (and growing) 3D models with descriptive captions, tags, and animations. Objaverse improves upon present day 3D repositories in terms of scale, number of categories, and in the visual diversity of instances within a category.
Source: Objaverse: A Universe of Annotated 3D Objects
Image Source: https://objaverse.allenai.org/
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Generative 3D Object Classification | Objaverse | MiniGPT-3D Objaverse (Average) 60.25 | MiniGPT-3D: Efficiently Aligning 3D Point Clouds with... | tangyuan96/minigpt-3d | 7 | Compare |
| 3D Object Captioning | Objaverse | MiniGPT-3D GPT-4 57.06 | MiniGPT-3D: Efficiently Aligning 3D Point Clouds with... | tangyuan96/minigpt-3d | 6 | Compare |
Papers archive 2025-07-28
5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 393. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors | 1 | 2 | 2 May 2024 | not harvested |
| ShapeLLM: Universal 3D Object Understanding for Embodied Interaction | 3 | 4 | 27 Feb 2024 | ran 9 of 17 samples (8 unverified) |
| Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following | 5 | 1 | 1 Sep 2023 | ran 13 of 20 samples (7 unverified; 7 pointer-only for licence) |
| PointLLM: Empowering Large Language Models to Understand Point Clouds | 3 | 4 | 31 Aug 2023 | not harvested |
| 3D-LLM: Injecting the 3D World into Large Language Models | 5 | 2 | 24 Jul 2023 | ran 5 of 10 samples (5 unverified; 10 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Objaverse
- Objaverse LVIS
2 variant names, as the archive lists them.
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