The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 24, 2024
Filed:
Oct. 10, 2023
Pinterest, Inc., San Francisco, CA (US);
Nadia Fawaz, Santa Clara, CA (US);
Anh Tuong Ta, Orinda, CA (US);
Bhawna Juneja, Belmont, CA (US);
Rohan Mahadev, New York, NY (US);
Valerie Moy, San Francisco, CA (US);
Dmitry Olegovich Kislyuk, San Ramon, CA (US);
David Ding-Jia Xue, San Francisco, CA (US);
Christopher Lee Schaefbauer, Berkley, CA (US);
Graham Roth, San Francisco, CA (US);
William Yau, San Jose, CA (US);
Jordan DiSanto, San Francisco, CA (US);
Ding Zhang, San Francisco, CA (US);
David Voiss, San Francisco, CA (US);
Pinterest, Inc., San Francisco, CA (US);
Abstract
Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.