Invention Grant
- Patent Title: Neural network for object detection in images
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Application No.: US15340675Application Date: 2016-11-01
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Publication No.: US10346723B2Publication Date: 2019-07-09
- Inventor: Wei Han , Jianchao Yang , Ning Zhang , Jia Li
- Applicant: SNAP INC.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/66 ; G06K9/46 ; G06K9/52 ; G06T3/40 ; G06N3/04 ; G06N3/08

Abstract:
Systems, devices, media, and methods are presented for identifying and categorically labeling objects within a set of images. The systems and methods receive an image depicting an object of interest, detect at least a portion of the object of interest within the image using a multilayer object model, determine context information, and identify the object of interest included in two or more bounding boxes.
Public/Granted literature
- US20180121762A1 NEURAL NETWORK FOR OBJECT DETECTION IN IMAGES Public/Granted day:2018-05-03
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