{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11507781","patent":{"patent_number":"US-11507781","title":"Methods and systems for automatic generation of massive training data sets from 3D models for training deep learning networks","assignee":null,"inventors":[],"filing_date":"2019-12-17T00:00:00.000Z","publication_date":"2022-11-22T00:00:00.000Z","cpc_codes":["G06F","G06N","G06N","G06N","G06N","G06N","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06V","G06V","G06V","G06V","G06N","G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"Disclosed are systems and methods for generating large data sets for training deep learning networks (DLNs) for 3D measurements extraction from 2D images taken using a mobile device camera. The method includes the steps of receiving a 3D model of a 3D object; extracting spatial features from the 3D model; generating a first type of augmentation data for the 3D model, such as but not limited to skin color, face contour, hair style, virtual clothing, and/or lighting conditions; augmenting the 3D model with the first type of augmentation data to generate an augmented 3D model; generating at least one 2D image from the augmented 3D model by performing a projection of the augmented 3D model onto at least one plane; and generating a training data set to train the deep learning network (DLN) for spatial feature extraction by aggregating the spatial features and the at least one 2D image."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Methods and systems for automatic generation of massive training data sets from 3D models for training deep learning networks","description":"Disclosed are systems and methods for generating large data sets for training deep learning networks (DLNs) for 3D measurements extraction from 2D images taken using a mobile device camera. The method","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11507781","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11507781","citation_suggestion":"Patentable. \"Methods and systems for automatic generation of massive training data sets from 3D models for training deep learning networks\" (US-11507781). https://patentable.app/patents/US-11507781","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11507781","json":"https://patentable.app/api/llm-context/US-11507781","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:46:04.881Z"}