{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10489722","patent":{"patent_number":"US-10489722","title":"Semiautomatic machine learning model improvement and benchmarking","assignee":null,"inventors":[],"filing_date":"2017-07-27T00:00:00.000Z","publication_date":"2019-11-26T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06F","G06N","G06V","G06V","G06V","G06V","G06N"],"num_claims":20,"abstract":"Systems, methods, and articles of manufacture to perform an operation comprising processing, by a machine learning (ML) algorithm and a ML model, a plurality of images in a first dataset, wherein the ML model was generated based on a plurality of images in a training dataset, receiving user input reviewing a respective set of tags applied to each image in the first data set as a result of the processing, identifying, based on a first confusion matrix generated based on the user input and the sets of tags applied to the images in the first data set, a first labeling error in the training dataset, determining a type of the first labeling error based on a second confusion matrix, and modifying the training dataset based on the determined type of the first labeling error."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Semiautomatic machine learning model improvement and benchmarking","description":"Systems, methods, and articles of manufacture to perform an operation comprising processing, by a machine learning (ML) algorithm and a ML model, a plurality of images in a first dataset, wherein the ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10489722","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-10489722","citation_suggestion":"Patentable. \"Semiautomatic machine learning model improvement and benchmarking\" (US-10489722). https://patentable.app/patents/US-10489722","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10489722","json":"https://patentable.app/api/llm-context/US-10489722","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:09:14.060Z"}