FaceIndexing

AI Overview😉

  • The potential purpose of this module is to analyze and extract facial features from images on a website. This could be used to improve image search results, detect and filter out explicit content, or enhance accessibility features for visually impaired users.
  • This module could impact search results by giving more weight to websites with images that are accurately indexed and analyzed for facial features. This could lead to more relevant and accurate image search results, especially for searches related to people or faces. Additionally, it could also affect the ranking of websites that contain explicit or inappropriate content, as the algorithm may detect and demote such content.
  • To be more favorable to this function, a website could ensure that its images are properly tagged and labeled with metadata, making it easier for the algorithm to analyze and extract facial features. Additionally, websites could consider using image compression and optimization techniques to reduce the file size of images, making it easier for the algorithm to process and analyze. Furthermore, websites could also consider adding alt text and descriptive text to images, which could provide additional context for the algorithm to better understand the content of the image.

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

Attributes

  • mustangBytes (type: String.t, default: nil) - Always use image/search/utils/face_proto_util.h for packing and unpacking these values.
  • mustangBytesVersion (type: integer(), 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.FaceIndexing{
  mustangBytes: String.t() | nil,
  mustangBytesVersion: integer() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.