ImageUnderstandingIndexingImageRegion

AI Overview😉

  • The potential purpose of this module is to analyze images and identify objects within them, assigning a confidence score to each detected object. This helps Google understand the content of images and improve image search results.
  • This module could impact search results by improving the accuracy of image search results, allowing users to find more relevant images based on the objects detected within them. It may also enable features like object-based image filtering or categorization.
  • To be more favorable for this function, a website could ensure that their images are of high quality, have descriptive alt tags and file names, and are optimized for object detection (e.g., by using clear and well-lit images). Additionally, providing context about the image through surrounding text or metadata could help improve the accuracy of object detection.

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

Image region produced by a detector.

Attributes

  • box (type: GoogleApi.ContentWarehouse.V1.Model.PhotosVisionGroundtruthdbNormalizedBoundingBox.t, default: nil) - Bounding box normalized to [0,1] scale independent on the image size. For example if the original image has the size 1600x1200, the rectangle [200, 200, 800, 600] from the image would have a normalized bounding box [1/8, 1/6, 1/2, 1/2].
  • score (type: number(), default: nil) - Box confidence score. This is used to store the confidence of the box proposal, not the score associated with any specific labels. The box proposal confidence score is a float number per region between [0, 1] indicating how likely a box contains an "object".
  • version (type: String.t, default: nil) -

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.ImageUnderstandingIndexingImageRegion{
    box:
      GoogleApi.ContentWarehouse.V1.Model.PhotosVisionGroundtruthdbNormalizedBoundingBox.t()
      | nil,
    score: number() | nil,
    version: 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.