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ImageInstanceQ[image,obj]

gives True if image appears to be an instance of the object obj, and gives False otherwise.

ImageInstanceQ[image,obj,cat]

assumes that the image is of something in the category cat.

ImageInstanceQ[video,…]

returns a time series of results for video frames.

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Options  
AcceptanceThreshold  
RecognitionPrior  
See Also
Related Guides
Related Links
History
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ImageInstanceQ

ImageInstanceQ[image,obj]

gives True if image appears to be an instance of the object obj, and gives False otherwise.

ImageInstanceQ[image,obj,cat]

assumes that the image is of something in the category cat.

ImageInstanceQ[video,…]

returns a time series of results for video frames.

Details and Options

  • ImageContainsQ tries to identify whether an image is an instance of a given category.
  • Possible forms for both object obj and category cat are:
  • "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
    instance1|instance2|…any of the instancei
  • The following options can be given:
  • AcceptanceThreshold 0.5what recognition probability to require
    PerformanceGoalAutomaticfavor algorithms with specific advantages
    RecognitionPrior 0.5prior probability for a True result
    TargetDevice"CPU"the target device on which to compute
  • ImageInstanceQ uses machine learning. Its methods, training sets and biases included therein may change and yield varied results in different versions of the Wolfram Language.
  • ImageInstanceQ 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)

Test whether an image is an instance of a particular object:

Wolfram Language code: ImageInstanceQ[[image], Entity["Species", "Species:FelisCatus"]]

Perform the test within a specific category:

Wolfram Language code: ImageInstanceQ[[image], "cat"]
Wolfram Language code: ImageInstanceQ[[image], "cat", Entity["Concept", "Felid::t6ktm"]]

Options  (2)

AcceptanceThreshold  (1)

Using the default AcceptanceThreshold, an object may not be identified:

Wolfram Language code: ImageInstanceQ[[image], Entity["Concept", "Uke::57cs3"]]

Specify a lower threshold to accept a less certain match:

Wolfram Language code: ImageInstanceQ[[image], Entity["Concept", "Uke::57cs3"], AcceptanceThreshold -> 1 / 50]

RecognitionPrior  (1)

The default RecognitionPrior is 0.5:

Wolfram Language code: ImageInstanceQ[[image], Entity["Concept", "Freighter::968s8"]]

Assign a very low prior probability to the object to be tested for in the image:

Wolfram Language code: ImageInstanceQ[[image], Entity["Concept", "Freighter::968s8"], RecognitionPrior -> 1 / 40]
Wolfram Research (2015), ImageInstanceQ, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageInstanceQ.html.

Text

Wolfram Research (2015), ImageInstanceQ, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageInstanceQ.html.

CMS

Wolfram Language. 2015. "ImageInstanceQ." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/ImageInstanceQ.html.

APA

Wolfram Language. (2015). ImageInstanceQ. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ImageInstanceQ.html

BibTeX

@misc{reference.wolfram_2026_imageinstanceq, author="Wolfram Research", title="{ImageInstanceQ}", year="2015", howpublished="\url{https://reference.wolfram.com/language/ref/ImageInstanceQ.html}", note=[Accessed: 13-June-2026]}

BibLaTeX

@online{reference.wolfram_2026_imageinstanceq, organization={Wolfram Research}, title={ImageInstanceQ}, year={2015}, url={https://reference.wolfram.com/language/ref/ImageInstanceQ.html}, note=[Accessed: 13-June-2026]}