- 专利标题: Machine Learning Architecture for Peer-Based Image Scoring
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申请号: US18752622申请日: 2024-06-24
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公开(公告)号: US20240346803A1公开(公告)日: 2024-10-17
- 发明人: Elham Saraee , Jehan Hamedi , Zachary Halloran
- 申请人: VIZIT LABS, INC.
- 申请人地址: US MA Boston
- 专利权人: VIZIT LABS, INC.
- 当前专利权人: VIZIT LABS, INC.
- 当前专利权人地址: US MA Boston
- 分案原申请号: US15727044 2017.10.06
- 主分类号: G06V10/74
- IPC分类号: G06V10/74 ; G06F16/438 ; G06N3/045 ; G06V10/40 ; G06V10/82
摘要:
A method includes displaying a first user interface including a target image and a task selection element, in response to a selection of the task selection element, displaying a second user interface including a target audience selection element, in response to a selection of a target audience using the target audience selection element, displaying a third user interface including a benchmark selection element, in response to a selection of a benchmark using the benchmark selection element, executing a target audience machine learning model using as input the target image to generate a performance score, calculating a benchmark score for the target image based on the performance score of the target image and performance scores for the images of the benchmark, and displaying a fourth user interface including the target image and the benchmark score.
公开/授权文献
- US12118769B1 Machine learning architecture for peer-based image scoring 公开/授权日:2024-10-15
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