ImageIdentify

ImageIdentify[image]

yields the result of attempting to identify what image is a picture of.

ImageIdentify[image,category]

restricts the identification of image to objects within the specified category.

ImageIdentify[image,category,n]

gives a list of up to n possible identifications.

ImageIdentify[image,category,n,"prop"]

gives the specified property for each identification.

Details and Options

  • ImageIdentify[{image1,image2,…},…] can be used to identify objects in multiple images.
  • In ImageIdentify[image,category], possible forms for category include:
  • "type"entity type, as used in Interpreter
    "concept"named concept, as used in "Concept" entities
    "word"English word, as used in WordData
    wordspecword sense specification, as used in WordData
    Entity[…]any appropriate entity
    category1|category2|…any of the categoryi
  • By default, ImageIdentify returns objects of the form Entity["Concept",…].
  • The property "prop" can be one of the following:
  • "Concept"a concept entity object
    "Entity"when possible, a concrete entity object
    "Probability"an association of concepts and probabilities
    "cprop"a property supported by "Concept" entities
    {prop1,…}a list of property specifications
  • The following options can be given:
  • AcceptanceThresholdAutomaticidentification acceptance threshold
    SpecificityGoalAutomaticwhat specificity of object type to seek
    TargetDevice"CPU"the target device on which to compute
  • Possible settings for SpecificityGoal include:
  • "Low"favor general categories of objects
    "High"favor specific kinds of objects
    sspecificity between 0 (lowest) and 1 (highest)
  • When no content is found at an acceptable threshold, Missing["Unidentified"] is returned.
  • ImageIdentify uses machine learning, and its training set and methods may change in different versions of the Wolfram Language, yielding different results.
  • ImageIdentify may download resources that will be stored in your local object store at $LocalBase, and can be listed using LocalObjects[] and removed using ResourceRemove.

Examples

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Basic Examples  (2)

Identify the object present in the image:

In[1]:=
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Out[1]=

Identify what type of dog is present in the image:

In[1]:=
Click for copyable input
Out[1]=

Scope  (3)

Options  (3)

Properties & Relations  (1)

Possible Issues  (1)

Neat Examples  (1)

Introduced in 2015
(10.1)