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copyright lastupdated keywords subcollection
years
2015, 2019
2019-06-04
Visual Recognition service,Face model,Food model,Explicit,Text recognition,Visual Recognition use cases
visual-recognition

{:shortdesc: .shortdesc} {:external: target="_blank" .external} {:tip: .tip} {:important: .important} {:note: .note} {:deprecated: .deprecated} {:pre: .pre} {:codeblock: .codeblock} {:screen: .screen} {:javascript: .ph data-hd-programlang='javascript'} {:java: .ph data-hd-programlang='java'} {:python: .ph data-hd-programlang='python'} {:swift: .ph data-hd-programlang='swift'}

About

{: #index}

On April 2, 2018, the identity information in the response to calls to the Face model was removed. The identity information refers to the name of the person, score, and type_hierarchy knowledge graph. For details about the enhanced Face model, see the Release notes. {: deprecated}

The {{site.data.keyword.visualrecognitionfull}} service uses deep learning algorithms to analyze images for scenes, objects, faces, and other content. The response includes keywords that provide information about the content. {: shortdesc}

Available models

{: #models}

A set of built-in models provides highly accurate results without training:

  • General model: Default classification from thousands of classes.
  • Face model: Facial analysis with age and gender.
  • Explicit model: Whether an image is inappropriate for general use.
  • Food model: Specifically for images of food items.
  • Text model (Private beta): Text extraction from natural scene images. Request access{: external}.

You can also train custom models to create specialized classes.

How to use the service

{: #language-support-how-to}

The following image shows the process of creating and using {{site.data.keyword.visualrecognitionshort}}:

Describes the flow of the {{site.data.keyword.visualrecognitionshort}} service, from preparing, training, and classifying images to viewing results.

Use cases

{: #language-support-use-cases}

The {{site.data.keyword.visualrecognitionshort}} service can be used for diverse applications and industries, such as:

  • Manufacturing: Use images from a manufacturing setting to make sure products are being positioned correctly on an assembly line
  • Visual auditing: Look for visual compliance or deterioration in a fleet of trucks, planes, or windmills out in the field, train custom models to understand what defects look like
  • Insurance: Rapidly process claims by using images to classify claims into different categories
  • Social listening: Use images from your product line or your logo to track buzz about your company on social media
  • Social commerce: Use an image of a plated dish to find out which restaurant serves it and find reviews, use a travel photo to find vacation suggestions based on similar experiences
  • Retail: Take a photo of a favorite outfit to find stores with those clothes in stock or on sale, use a travel image to find retail suggestions in that area
  • Education: Create image-based applications to educate about taxonomies