ImageUnderstandingIndexingAnnotation

AI Overview😉

  • The potential purpose of this module is to analyze and understand the content of images on a webpage, detecting objects, people, and other features within the image, and extracting relevant information such as labels and embeddings. This helps Google to better comprehend the visual content of a webpage and improve search results.
  • This module could impact search results by allowing Google to return more accurate and relevant results for image-based searches. For example, if a user searches for "pictures of dogs on beaches", Google can use this module to identify images that contain dogs and beaches, and rank them higher in the search results. Additionally, this module can also help Google to identify and filter out irrelevant or low-quality images, improving the overall user experience.
  • A website may change things to be more favorable for this function by ensuring that their images are high-quality, well-labeled, and contain relevant and descriptive alt text. This can help Google's image understanding module to better comprehend the content of the images and return more accurate results. Additionally, using schema markup such as ImageObject can also provide Google with additional context about the images, making it easier for the module to understand and analyze them.

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

Annotation packs various recognition, detection, embedding, and parsing results. One Annotation per bounding box detection.

Attributes

  • feature (type: list(GoogleApi.ContentWarehouse.V1.Model.ImageUnderstandingIndexingFeature.t), default: nil) - Multiple feature embeddings for this bounding box.
  • labelGroup (type: list(GoogleApi.ContentWarehouse.V1.Model.ImageUnderstandingIndexingLabelGroup.t), default: nil) - Multiple label annotations for this bounding box.
  • roi (type: GoogleApi.ContentWarehouse.V1.Model.ImageUnderstandingIndexingImageRegion.t, default: nil) - Detected bounding box. Leave it not set for whole image annotation.

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.ImageUnderstandingIndexingAnnotation{
    feature:
      [
        GoogleApi.ContentWarehouse.V1.Model.ImageUnderstandingIndexingFeature.t()
      ]
      | nil,
    labelGroup:
      [
        GoogleApi.ContentWarehouse.V1.Model.ImageUnderstandingIndexingLabelGroup.t()
      ]
      | nil,
    roi:
      GoogleApi.ContentWarehouse.V1.Model.ImageUnderstandingIndexingImageRegion.t()
      | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.