Invention Grant
- Patent Title: Classification of images based on convolution neural networks
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Application No.: US16405675Application Date: 2019-05-07
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Publication No.: US11461599B2Publication Date: 2022-10-04
- Inventor: Pablo F. Ordonez
- Applicant: Kennesaw State University Research and Service Foundation, Inc.
- Applicant Address: US GA Kennesaw
- Assignee: Kennesaw State University Research and Service Foundation, Inc.
- Current Assignee: Kennesaw State University Research and Service Foundation, Inc.
- Current Assignee Address: US GA Kennesaw
- Agency: Smith, Gambrell & Russell LLP
- Main IPC: G06V10/24
- IPC: G06V10/24 ; G06K9/62 ; G06T7/60 ; G06N3/04 ; G06V10/20

Abstract:
Systems and methods are described for image classification. An example method may comprise receiving an image comprising an object of interest and determining, based on a first convolution neural network, a first classification of the image. The first convolution neural network may be optimized for a first factor. The method may comprise determining, based on a second convolution neural network, a first classification of the image. The second convolution neural network may be optimized for a second factor. The method may comprise determining, based on the first classification and the second classification, a characteristic of the object of interest. The method may comprise providing the characteristic of the object of interest.
Public/Granted literature
- US20200034669A1 CLASSIFICATION OF IMAGES BASED ON CONVOLUTION NEURAL NETWORKS Public/Granted day:2020-01-30
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