MACHINE LEARNING SYSTEM TO SCORE ALT-TEXT IN IMAGE DATA

    公开(公告)号:US20210073617A1

    公开(公告)日:2021-03-11

    申请号:US16567277

    申请日:2019-09-11

    Abstract: Techniques are generally described for automatic scoring of alt-text for image data. In various examples, first image data and first text data describing the first image data may be received. A feature representation of the first image data may be determined using an encoder machine learning model. A hidden state representation may be determined using a decoder machine learning model based on the feature representation and a first word of the first text data. In some examples, a first score may be determined using the hidden state representation. The first score may include an indication of a descriptive capability of the first text data with respect to the first image data.

    Attribute-based content selection and search

    公开(公告)号:US11829445B1

    公开(公告)日:2023-11-28

    申请号:US17361905

    申请日:2021-06-29

    CPC classification number: G06F18/22 G06F16/532 G06F3/0482 G06N3/04 G06N3/08

    Abstract: Systems and techniques are generally described for attribute-based content selection and search. In some examples, a graphical user interface (GUI) may display an image of a first product comprising a plurality of visual attributes. In some further examples, the GUI may display at least a first control button with data identifying a first visual attribute of the plurality of visual attributes. In some cases, a first selection of the first control button may be received. In some examples, a first plurality of products may be determined based at least in part on the first selection of the first control button. The first plurality of products may be determined based on a visual similarity to the first product, and a visual dissimilarity to the first product with respect to the first visual attribute. In some examples, the first plurality of products may be displayed on the GUI.

    Machine learning system to score alt-text in image data

    公开(公告)号:US11361212B2

    公开(公告)日:2022-06-14

    申请号:US16567277

    申请日:2019-09-11

    Abstract: Techniques are generally described for automatic scoring of alt-text for image data. In various examples, first image data and first text data describing the first image data may be received. A feature representation of the first image data may be determined using an encoder machine learning model. A hidden state representation may be determined using a decoder machine learning model based on the feature representation and a first word of the first text data. In some examples, a first score may be determined using the hidden state representation. The first score may include an indication of a descriptive capability of the first text data with respect to the first image data.

Patent Agency Ranking