Detection, Recognition, and Processing of Visual Features in Images

One or more tangible non-transitory computer-readable media storing computer-readable instructions that when executed by one or more processors cause the one or more processors to perform operations, the operations comprising:

• receiving image data comprising a plurality of images;
• determining, based on inputting the image data into a machine-learned model configured to recognize one or more text segments detected in the plurality of images, a plurality of attributes associated with the plurality of images, wherein the machine-learned model comprises a plurality of task-specific heads configured to determine the plurality of attributes;
• determining one or more entities associated with the plurality of attributes;
• generating attribute data comprising the plurality of attributes associated with the one or more entities;
• and
• updating, based on the attribute data, map data associated with a plurality of locations.

A computing system comprising:

• one or more processors;
• one or more non-transitory computer-readable media storing instructions that when executed by the one or more processors cause the one or more processors to perform operations comprising:
• receiving image data comprising a plurality of images;
• determining, based on inputting the image data into a machine-learned model configured to recognize one or more text segments detected in the plurality of images, a plurality of attributes associated with the plurality of images, wherein the machine-learned model comprises a plurality of task-specific heads configured to determine the plurality of attributes;
• determining one or more entities associated with the plurality of attributes;
• generating attribute data comprising the plurality of attributes associated with the one or more entities;
• and
• updating, based on the attribute data, map data associated with a plurality of locations.