Invention Grant
- Patent Title: Entity identification using machine learning
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Application No.: US17094380Application Date: 2020-11-10
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Publication No.: US11594058B2Publication Date: 2023-02-28
- Inventor: Barnaby John James , Grace Taixi Brentano , Christopher Thornton
- Applicant: X Development LLC
- Applicant Address: US CA Mountain View
- Assignee: X Development LLC
- Current Assignee: X Development LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06V40/10
- IPC: G06V40/10 ; A01K61/95 ; G06N20/00 ; A01K63/02 ; G06K9/62 ; G06T3/40 ; G06V10/40 ; G06V10/24 ; G06V20/80

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media for identification and re-identification of fish. In some implementations, first media representative of aquatic cargo is received. Second media based on the first media is generated, wherein a resolution of the second media is higher than a resolution of the first media. A cropped representation of the second media is generated. The cropped representation is provided to the machine learning model. In response to providing the cropped representation to the machine learning model, an embedding representing the cropped representation is generated using the machine learning model. The embedding is mapped to a high dimensional space. Data identifying the aquatic cargo is provided to a database, wherein the data identifying the aquatic cargo comprises an identifier of the aquatic cargo, the embedding, and a mapped region of the high dimensional space.
Public/Granted literature
- US20210142052A1 ENTITY IDENTIFICATION USING MACHINE LEARNING Public/Granted day:2021-05-13
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