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VNClassificationObservationMBS class
Super class: VNObservationMBS
Type | Topic | Plugin | Version | macOS | Windows | Linux | iOS | Targets |
class | Vision | MBS MacFrameworks Plugin | 19.4 | ✅ Yes | ❌ No | ❌ No | ✅ Yes | All |
This type of observation results from performing a VNCoreMLRequestMBS image analysis with a Core ML model whose role is classification (rather than prediction or image-to-image processing). Vision infers that an MLModel object is a classifier model if that model predicts a single feature. That is, the model's modelDescription object has a non-nil value for its predictedFeatureName property.
Subclass of the VNObservationMBS class.
- 2 properties
- property hasPrecisionRecallCurve as Boolean
- property identifier as String
- 3 methods
- method Constructor
- method hasMinimumPrecision(minimumPrecision as single, recall as single) as Boolean
- method hasMinimumRecall(minimumRecall as single, precision as single) as Boolean
Super class VNObservationMBS
- 5 properties
- property className as String
- property Confidence as Double
- property Handle as Integer
- property requestRevision as Integer
- property UUID as String
- 2 methods
- method Constructor Private
- method copy as VNObservationMBS
This class has no sub classes.
Some methods using this class:
- VNClassifyImageRequestMBS.knownClassificationsForRevision(requestRevision as Integer = 1, byref error as NSErrorMBS) as VNClassificationObservationMBS()
- VNRecognizedObjectObservationMBS.labels as VNClassificationObservationMBS()
Some examples using this class:
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The items on this page are in the following plugins: MBS MacFrameworks Plugin.
VNBarcodeObservationMBS - VNClassifyImageRequestMBS