PhotosVisionObjectrecROI

AI Overview😉

  • The potential purpose of this module is to identify and extract specific regions of interest within images. This could be used to better understand the content of an image, such as objects, people, or text, and how they relate to the search query.
  • This module could impact search results by allowing Google to more accurately identify and rank images that are relevant to a search query. For example, if a user searches for "cats playing piano", the module could help identify images that show a cat playing a piano, rather than just images with cats or pianos separately. This could lead to more accurate and relevant image search results.
  • To be more favorable for this function, a website could ensure that their images are properly tagged and described, including alt text and descriptive captions. This would help Google's algorithm understand the content of the image and identify relevant regions of interest. Additionally, using schema.org markup for images, such as ImageObject, could provide additional context and help the algorithm better understand the image's content.

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

A region of interest in the image.

Attributes

  • xMax (type: integer(), default: nil) -
  • xMin (type: integer(), default: nil) -
  • yMax (type: integer(), default: nil) -
  • yMin (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.PhotosVisionObjectrecROI{
  xMax: integer() | nil,
  xMin: integer() | nil,
  yMax: integer() | nil,
  yMin: integer() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.