assumes that the image is of something in the specified category.
Details and Options
- Possible forms for both objects and categories are:
"type" entity type, as used in Interpreter "concept" named concept, as used in "Concept" entities "word" English word, as used in WordData wordspec word sense specification, as used in WordData Entity[…] any appropriate entity category1|category2|… any of the categoryi
- The following options can be given:
AcceptanceThreshold 0.5 what recognition probability to require PerformanceGoal Automatic favor algorithms with specific advantages RecognitionPrior 0.5 prior probability for a True result TargetDevice "CPU" the target device on which to compute
- ImageInstanceQ uses machine learning, and its training set and methods may change in different versions of the Wolfram Language, yielding different results.
- 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.
Introduced in 2015