CommerceDatastoreImageDeepTagsModelOutput

AI Overview😉

  • The potential purpose of this module is to analyze and understand the content of images, particularly in the context of e-commerce and advertising. It appears to be identifying various attributes of images, such as background type, object count, and the presence of text overlays, watermarks, or other unwanted elements. This could be used to improve the quality and relevance of images in search results, ads, and other online platforms.
  • This module could impact search results by influencing the ranking and display of images. For example, images with poor cropping, unwanted text overlays, or other undesirable attributes might be demoted or filtered out of search results. On the other hand, images with high-quality attributes, such as clear backgrounds and relevant objects, might be promoted or given more visibility. This could lead to a better user experience and more relevant results for searchers.
  • To be more favorable for this function, a website could ensure that its images are high-quality, well-cropped, and free of unwanted elements. This might involve using image editing software to remove watermarks or other unwanted text overlays, or using alt text and descriptive captions to provide context for images. Additionally, websites could use schema markup and other metadata to provide search engines with more information about their images, making it easier for this module to accurately analyze and understand their content.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

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

Attributes

  • backgroundType (type: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t, default: nil) -
  • collage (type: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t, default: nil) -
  • cropping (type: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t, default: nil) - We are looking to deploy a model for the Ads team to identify images with bad cropping. The model will be for Ads only and we will not populate the cropping field in CDS.
  • modelType (type: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t, default: nil) -
  • nfs (type: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t, default: nil) - Tag corresponds to the shopping non-family safe (nfs) image signal.
  • objectCount (type: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t, default: nil) -
  • overlay (type: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t, default: nil) - Tag corresponding to unwanted text overlay (watermarks, logos, promotional elements, artifacts, etc).
  • selfie (type: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t, default: nil) -
  • textOverlay (type: list(GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t), default: nil) - Tag corresponding to the text overlay classifier (watermarks, logos, promotional elements, artifacts, etc).
  • version (type: integer(), 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.CommerceDatastoreImageDeepTagsModelOutput{
    backgroundType:
      GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t() | nil,
    collage:
      GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t() | nil,
    cropping:
      GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t() | nil,
    modelType:
      GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t() | nil,
    nfs: GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t() | nil,
    objectCount:
      GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t() | nil,
    overlay:
      GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t() | nil,
    selfie:
      GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t() | nil,
    textOverlay:
      [GoogleApi.ContentWarehouse.V1.Model.CommerceDatastoreDeepTag.t()] | nil,
    version: integer() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.