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OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects
What this score means
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects just got measured.
4/10 means OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects is borderline visible. AI bots can crawl your site but your structured-data signals are thin. You are at risk of being skipped when buyers ask AI for a recommendation.
About OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects
A unified NOCS dataset and model for 3D lifting of 2D objects ECCV 2024 Oral Akshay Krishnan1,2, Abhijit Kundu2, Kevis-Kokitsi Maninis2, James Hays1, Matthew Brown2 1Georgia Institute of Technology, 2Google Research* *Now at Google DeepMind Paper arXiv Dataset OmniNOCS is a unified NOCS (Normalized Object Coordinate Space) dataset that contains data across different domains with 90+ object classes
Key Topics
Details
Category: Technology
omninocs.github.ioAI Visibility Breakdown
1
Structured Data
8
Content Structure
5
Entity Clarity
3
E-E-A-T Signals
6
Technical AEO
2
AI Discoverability
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Source & Attribution
Scored by Engagemii on June 7, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/omninocs-github-io
Cite this score: Engagemii (2026). "AEO Score for OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects." Retrieved from https://engagemii.com/aeo/brands/omninocs-github-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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