Dataset of 1,031 real scanned objects in GLB format lands on Hugging Face
RexDouglass · x · 2026-11-06
A new Hugging Face dataset, codepawl/scanned-objects-glb, offers 1,030 photogrammetry scans of real objects converted to GLB under CC-BY-4.0. Each entry includes an image, name, one of 14 categories (shoes, board games, toys), brand, real-world dimensions (0.02–0.5m width), triangle counts (1k–101k), and pack sizes of 72KB–2.4MB. Objects include Adidas shoes, Hasbro Jenga and PlanToys sets — useful for 3D generation, 3D understanding, and sim2real data augmentation.
Related event: Dataset of 1,000+ Photogrammetry 3D Scans in GLB Format Hits Hugging Face(2 posts)→
More from Research
- Stanford Cancer Biology Best Thesis Winner Vows to Build AI Agents for Science — MengdiWang10 · 2026-11-06
- VybBench open-sourced: top image models change 90%+ of pixels on tiny edits — balajiln · 2026-11-06
- Fluency, not latency: HRI metrics offer a better benchmark for real-time AI agents — Stefania_druga · 2026-11-06
- METR: AI capability acceleration not driven by faster training compute growth — BenBajarin · 2026-11-06
- UChicago team backed by Laude and NSF builds actionable AI weather forecasts for farmers — BenBlaiszik · 2026-11-06
- Fly connectome with 138k neurons drives a robot duck's escape reflexes in sim — willknight · 2026-11-06