OcrPhotoCurve

AI Overview😉

  • The potential purpose of this module is to identify and analyze the layout of visual content, such as images, within web pages. It appears to be using Optical Character Recognition (OCR) technology to detect curved bounding boxes within images, which could be used to better understand the content and context of the image.
  • This module could impact search results by allowing Google to better understand the visual content of a webpage, potentially leading to more accurate image search results, improved image indexing, and enhanced ability to identify and rank pages with relevant visual content. It may also help Google to identify and filter out low-quality or spammy content.
  • To be more favorable for this function, a website could ensure that their images are of high quality, well-optimized, and have descriptive alt tags and captions. They could also consider using structured data, such as schema.org, to provide additional context about the images on their page. Additionally, using clear and concise file names and descriptive URLs for images could also help Google's OCR technology to better understand the content of the image.

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

Copy of ocr/goodoc/layout-common.proto:CurvedBoundingBox, temporary duplicated here to allow for on-device builds.

Attributes

  • points (type: list(GoogleApi.ContentWarehouse.V1.Model.OcrPhotoCurvePoint.t), default: nil) - The sequence of points that approximate the curve.

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.OcrPhotoCurve{
  points: [GoogleApi.ContentWarehouse.V1.Model.OcrPhotoCurvePoint.t()] | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.