{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11468275","patent":{"patent_number":"US-11468275","title":"Computer vision using a prior probability distribution selected based on an image capture condition","assignee":null,"inventors":[],"filing_date":"2020-01-16T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["G06V","G06F","G06F","G06N","G06V","G06V","G06N","G06N"],"num_claims":15,"abstract":"A machine learning (ML) model is trained and used to produce a probability distribution associated with a computer vision task. The ML model uses a prior probability distribution associated with a particular image capture condition determined based on sensor data. For example, given that an image was captured by an image capture device at a particular height above the floor and angle relative to the vertical world axis, a prior probability distribution for that particular image capture device condition can be used in performing a computer vision task on the image. Accordingly, the machine learning model is given the image as input as well as the prior probability distribution for the particular image capture device condition. The use of the prior probability distribution can improve the accuracy, efficiency, or effectiveness of the ML learning model for the computer vison task."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Computer vision using a prior probability distribution selected based on an image capture condition","description":"A machine learning (ML) model is trained and used to produce a probability distribution associated with a computer vision task. The ML model uses a prior probability distribution associated with a par","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11468275","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-11468275","citation_suggestion":"Patentable. \"Computer vision using a prior probability distribution selected based on an image capture condition\" (US-11468275). https://patentable.app/patents/US-11468275","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11468275","json":"https://patentable.app/api/llm-context/US-11468275","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:14:49.990Z"}