ImageRepositoryAmarnaSignalsBlob

AI Overview😉

  • The potential purpose of this module is to analyze and extract features from images, specifically frame-by-frame features. This could be used to better understand the content of images and how they relate to search queries.
  • This module could impact search results by allowing Google to better rank images based on their content, rather than just relying on metadata like alt tags and file names. This could lead to more relevant and accurate image search results, and potentially even allow for more advanced image-based search features.
  • To be more favorable for this function, a website could ensure that their images are high-quality, well-lit, and in focus, making it easier for the module to extract features. They could also provide accurate and descriptive alt tags and file names, which could help the module better understand the content of the images. Additionally, using structured data like schema.org markup to provide additional context about the images could also be beneficial.

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

Attributes

  • frameFeatures (type: GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureSetDataSequence.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.ImageRepositoryAmarnaSignalsBlob{
  frameFeatures:
    GoogleApi.ContentWarehouse.V1.Model.DrishtiFeatureSetDataSequence.t() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.