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:
  • RecognitionThresholdAutomaticwhat level of recognition to consider acceptable
    SpecificityGoalAutomaticwhat specificity of object type to seek
  • 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 identification is found at an acceptable level, as specified by RecognitionThreshold, ImageIdentify returns Missing["Unidentified"].
  • ImageIdentify uses machine learning, and its training set and methods may change in different versions of the Wolfram Language, yielding different results.

Examples

open allclose all

Basic Examples  (2)

Identify the object present in the image:

In[3]:=
Click for copyable input
Out[3]=

Identify what type of dog is present in the image:

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

Scope  (3)

Options  (3)

Neat Examples  (1)

See Also

ImageInstanceQ  Classify  FindFaces  TextRecognize  ImageKeypoints  Interpreter

Introduced in 2015
(10.1)