OcrPhotoCurvePoint

AI Overview😉

  • The potential purpose of this module is to help Google's search algorithm understand the content of images by analyzing the curves and shapes within the image. It appears to be related to Optical Character Recognition (OCR) and photo analysis.
  • This module could impact search results by allowing Google to better understand the visual content of images, potentially improving image search results and allowing for more accurate image-based search queries. It may also enable Google to extract text from images, making the content more searchable.
  • A website may change things to be more favorable for this function by optimizing their images with descriptive alt tags, using high-quality images with clear text, and ensuring that images are properly indexed and crawlable by Google's bots. Additionally, using schema markup for images, such as ImageObject, could provide Google with more context about the image content.

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

Attributes

  • x (type: float(), default: nil) -
  • y (type: float(), default: nil) - NOTE: if we wish to support perspective (varying thickness), later on we could extend this message with a thickness field. In that case, CurvedBoundingBox.thickness() would be used as a default if !Point.has_thickness().

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.OcrPhotoCurvePoint{
  x: float() | nil,
  y: float() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.