PhotosVisionObjectrecFeatureVector

AI Overview😉

  • The potential purpose of this module is to analyze and process visual data from images, likely for image recognition and object detection tasks. This module appears to be part of Google's Photos Vision API, which is used for image analysis and understanding.
  • This module could impact search results by influencing the ranking of images and websites that contain images. If an image is accurately recognized and relevant to the search query, it may improve the website's ranking. Conversely, if the image is not recognized or is irrelevant, it may negatively impact the website's ranking.
  • To be more favorable for this function, a website could ensure that its images are of high quality, properly labeled and alt-tagged, and relevant to the content of the webpage. Additionally, using schema markup for images, such as ImageObject, and providing context about the image through surrounding text could help improve the accuracy of image recognition and object detection.

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

Attributes

  • floatData (type: list(number()), default: nil) - For single precision floating point data

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.PhotosVisionObjectrecFeatureVector{
  floatData: [number()] | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.