LensDiscoveryStylePersonDetectionSignals

AI Overview😉

  • The potential purpose of this module is to detect and analyze people in images, likely to improve image search results and provide more accurate information to users. It appears to be a component of Google's image analysis and understanding capabilities.
  • This module could impact search results by allowing Google to better understand the content of images, potentially leading to more accurate and relevant image search results. It may also enable features like facial recognition, people counting, or object detection, which could enhance the user experience.
  • To be more favorable for this function, a website could ensure that their images are of high quality, well-lit, and have clear depictions of people. They could also provide accurate and descriptive alt text for images, which may help the module better understand the content of the image. Additionally, optimizing images by compressing them and using relevant file names could also improve the performance of this module.

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

This message holds bounding boxes of detected people in the image. Next ID: 3

Attributes

  • detectedPersons (type: list(GoogleApi.ContentWarehouse.V1.Model.LensDiscoveryStylePersonDetectionSignalsDetectedPerson.t), default: nil) - Information of all detected people in the image, sorted by decreasing size of the bounding box. We store a maximum of 10 detected people.
  • version (type: String.t, default: nil) -

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.LensDiscoveryStylePersonDetectionSignals{
    detectedPersons:
      [
        GoogleApi.ContentWarehouse.V1.Model.LensDiscoveryStylePersonDetectionSignalsDetectedPerson.t()
      ]
      | nil,
    version: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.