GoogleCloudDocumentaiV1DocumentPageImageQualityScoresDetectedDefect

AI Overview😉

  • The potential purpose of this module is to evaluate the quality of images on a webpage, detecting defects such as blurriness, noise, darkness, faintness, small text, cutoffs, and glare. This helps Google's algorithm to understand the user experience and relevance of the webpage.
  • This module could impact search results by demoting webpages with low-quality images, as they may provide a poor user experience. Conversely, webpages with high-quality images may be promoted, as they are more likely to engage users and provide a better experience.
  • To be more favorable for this function, a website could ensure that their images are of high quality, clear, and well-lit. They could also optimize their images by compressing them to reduce file size, using descriptive alt tags, and providing a clear and consistent layout. Additionally, using responsive design to ensure images are displayed correctly on various devices and screen sizes could also improve the image quality scores.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

GoogleApi.ContentWarehouse.V1.Model.GoogleCloudDocumentaiV1DocumentPageImageQualityScoresDetectedDefect (google_api_content_warehouse v0.4.0)

Image Quality Defects

Attributes

  • confidence (type: number(), default: nil) - Confidence of detected defect. Range [0, 1] where 1 indicates strong confidence that the defect exists.
  • type (type: String.t, default: nil) - Name of the defect type. Supported values are: - quality/defect_blurry - quality/defect_noisy - quality/defect_dark - quality/defect_faint - quality/defect_text_too_small - quality/defect_document_cutoff - quality/defect_text_cutoff - quality/defect_glare

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.GoogleCloudDocumentaiV1DocumentPageImageQualityScoresDetectedDefect{
    confidence: number() | nil,
    type: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.