PhotosVisionObjectrecImageTemplateSubSet

AI Overview😉

  • Potential purpose of the module: This module appears to be related to image processing and analysis, specifically for object recognition and feature extraction. It seems to be a part of a larger system for processing and understanding visual data.
  • Impact on search results: This module could impact search results by influencing the ranking of images and websites that contain images. It may help Google's algorithm to better understand the content of images, allowing for more accurate and relevant search results. For example, it could help to identify objects within images, allowing users to search for specific objects or scenes.
  • Optimization for this function: To be more favorable for this function, a website could optimize its images by ensuring they are of high quality, well-labeled, and contain relevant metadata. This could include using descriptive alt tags, captions, and file names that accurately describe the content of the image. Additionally, using schema markup to provide additional context about the image could also be beneficial.

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

Each SubSet contains LocalDescriptors of a specific type. The type indicates which algorithm has been used to generate the descriptors. No enum is defined for the descriptor_type. For most applications it is sufficient to know if two descriptors are of the same or a different type, while ignoring the details of their generation. The descriptor type '0' is reserved and must not be used.

Attributes

  • descriptor (type: list(GoogleApi.ContentWarehouse.V1.Model.PhotosVisionObjectrecLocalDescriptor.t), default: nil) -
  • descriptorType (type: integer(), default: nil) -
  • isBinaryDescriptor (type: boolean(), default: nil) - Used to indicate if the descriptor is binary or not. When decompressing feature this is useful to decide calling different decompression functions.
  • numDescriptors (type: integer(), default: nil) - Used to store the number of descriptors for statistical purposes, if the descriptors themselves are not stored.

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.PhotosVisionObjectrecImageTemplateSubSet{
    descriptor:
      [
        GoogleApi.ContentWarehouse.V1.Model.PhotosVisionObjectrecLocalDescriptor.t()
      ]
      | nil,
    descriptorType: integer() | nil,
    isBinaryDescriptor: boolean() | nil,
    numDescriptors: integer() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.