Invention Grant
- Patent Title: Crowd-sourced data collection and labelling using gaming mechanics for machine learning model training
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Application No.: US16817358Application Date: 2020-03-12
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Publication No.: US11712633B2Publication Date: 2023-08-01
- Inventor: Kevin Yu , Simone Rebaudengo , Nick Pittom , Kang Zhang , Matt Au
- Applicant: SideChef Group Limited
- Applicant Address: CN Hong Kong
- Assignee: SideChef Group Limited
- Current Assignee: SideChef Group Limited
- Current Assignee Address: CN Hong Kong
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: A63F13/825
- IPC: A63F13/825 ; A63F13/58 ; G06N20/00 ; G06T19/00 ; G06F18/214 ; G06V10/778 ; G06V20/70 ; G06V20/10 ; G06V20/20 ; G06V20/68

Abstract:
A gamified application is provided for users to feed animated virtual characters with images of real-world food items. The images fed to the virtual characters are to be uploaded to a data store in a cloud environment, for use in training a custom machine learning model. A server in the cloud environment receives a photo of a food item fed to a virtual character in an augmented reality environment in the gamified application executing on a user device, invokes the custom machine learning model to generate classification information for the photo, sends the classification information to the user device for verification by a user, and stores the verified information to the data store used for periodically training the machine learning model. Over time, the data store would include a large volume of food images with label data verified by a large number of users.
Public/Granted literature
- US20210166077A1 CROWD-SOURCED DATA COLLECTION AND LABELLING USING GAMING MECHANICS FOR MACHINE LEARNING MODEL TRAINING Public/Granted day:2021-06-03
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