PhotosPanoramaMetadata

AI Overview😉

  • The potential purpose of this module is to identify and categorize images as either spherical panoramas or VR180 images. This could be used to improve image search results, particularly for users searching for specific types of images or experiences, such as virtual reality or 360-degree views.
  • This module could impact search results by allowing Google to better understand the content and context of images, and to provide more relevant and accurate results for users searching for specific types of images. For example, a user searching for "VR180 images of beaches" could be shown more relevant results if Google can identify and prioritize images that are specifically marked as VR180.
  • A website may change things to be more favorable for this function by ensuring that their images are properly tagged and categorized as either spherical panoramas or VR180 images. This could involve adding specific metadata or attributes to the images, such as the "sphericalPanorama" or "vr180Panorama" tags, to help Google's algorithm understand the content and context of the images. Additionally, websites could optimize their image content and structure to make it easier for Google to crawl and understand their images.

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

Attributes

  • sphericalPanorama (type: boolean(), default: nil) -
  • vr180Panorama (type: boolean(), default: nil) - True if the image is a VR180 image. See go/3d180 for details.

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.PhotosPanoramaMetadata{
  sphericalPanorama: boolean() | nil,
  vr180Panorama: boolean() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.