ImageUnderstandingIndexingFeature

ImageIndexing

GoogleApi.ContentWarehouse.V1.Model.ImageUnderstandingIndexingFeature

4
out of 10
Low
SEO Impact
Image feature embedding proto. It supports various embedding formats: raw bytes, floating point values, and tokens.

SEO Analysis

AI Generated

Controls how pages are indexed. Without proper indexing, pages cannot appear in search results at all. This model (Image Understanding Indexing Feature) contains 5 attributes that define its data structure. Key functionality includes: Multiple fields can be set. For example for Starburst V3, they can be used to store compressed byte, raw float feature, and tokens, respectively.

Actionable Insights for SEOs

  • Optimize crawl budget by fixing broken links and reducing redirect chains
  • Use robots.txt and sitemap.xml effectively to guide crawling
  • Monitor Google Search Console for crawl errors and indexing issues

Attributes

5
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bytesValuestring
Default: nilFull type: String.t

Multiple fields can be set. For example for Starburst V3, they can be used to store compressed byte, raw float feature, and tokens, respectively.

floatValuelist(number(
Default: nil
imageTemplatePhotosVisionObjectrecImageTemplate →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.PhotosVisionObjectrecImageTemplate.t

Local features.

int32Valuelist(integer(
Default: nil
versionstring
Default: nilFull type: String.t