GoogleCloudDocumentaiV1NormalizedVertex

AI Overview😉

  • The potential purpose of this module is to help Google's search algorithm understand the visual structure of an image, by identifying and analyzing the coordinates of specific points or vertices within the image. This could be used to improve image search results, or to better understand the content of images on web pages.
  • This module could impact search results by allowing Google to better understand the context and meaning of images, and to return more relevant results for image-based searches. It could also help Google to identify and prioritize web pages that contain high-quality, relevant, and well-structured images.
  • To be more favorable for this function, a website could ensure that its images are of high quality, well-structured, and contain relevant and descriptive alt text and captions. Additionally, using schema markup to provide additional context about the images, such as the subject matter or location, could help Google's algorithm to better understand the content of the images. Optimizing images by compressing them and using descriptive file names could also improve the website's chances of being ranked higher in image search results.

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GoogleApi.ContentWarehouse.V1.Model.GoogleCloudDocumentaiV1NormalizedVertex (google_api_content_warehouse v0.4.0)

A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.

Attributes

  • x (type: number(), default: nil) - X coordinate.
  • y (type: number(), default: nil) - Y coordinate (starts from the top of the image).

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.GoogleCloudDocumentaiV1NormalizedVertex{
    x: number() | nil,
    y: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.