LensDiscoveryStylePersonDetectionSignalsDetectedPerson

AI Overview😉

  • The potential purpose of this module is to detect and analyze images containing people, identifying the location of the person within the image through a bounding box. This could be used to improve image search results, especially for queries related to people, celebrities, or events.
  • This module could impact search results by prioritizing images with detected people, especially if the person is a relevant entity to the search query. This could lead to more accurate and relevant image search results, especially for queries like "celebrity name" or "event name". It may also influence the ranking of images in search results, with images containing detected people being ranked higher.
  • To be more favorable for this function, a website could optimize their images by: Using high-quality images with clear depictions of people Providing accurate and descriptive alt text for images Using relevant and descriptive file names for images Ensuring images are properly indexed and crawlable by Google Using schema.org markup to provide additional context about the people in the images

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GoogleApi.ContentWarehouse.V1.Model.LensDiscoveryStylePersonDetectionSignalsDetectedPerson (google_api_content_warehouse v0.4.0)

Holds information about a detected person in the image.

Attributes

  • boundingBox (type: GoogleApi.ContentWarehouse.V1.Model.LensDiscoveryStyleBoundingBox.t, default: nil) - Bounding box of the detected person.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.LensDiscoveryStylePersonDetectionSignalsDetectedPerson{
    boundingBox:
      GoogleApi.ContentWarehouse.V1.Model.LensDiscoveryStyleBoundingBox.t()
      | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.