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| Name | Description |
|---|
 | Classify(String, VisualRecognitionSuccessCallbackClassifiedImages, VisualRecognitionFailCallback, String, String, Single, String, DictionaryString, Object) |
Classifies image specified by URL.
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| Classify(VisualRecognitionSuccessCallbackClassifiedImages, VisualRecognitionFailCallback, String, String, String, Single, String, DictionaryString, Object) |
Classifies an image from the file system.
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| Classify(VisualRecognitionSuccessCallbackClassifiedImages, VisualRecognitionFailCallback, Byte, String, String, String, Single, String, DictionaryString, Object) |
Classifies an image using byte data.
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| DeleteClassifier |
Deletes the classifier by classifierID.
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| DetectFaces(String, VisualRecognitionSuccessCallbackDetectedFaces, VisualRecognitionFailCallback, DictionaryString, Object) |
Detects faces in a given image URL.
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| DetectFaces(VisualRecognitionSuccessCallbackDetectedFaces, VisualRecognitionFailCallback, Byte, DictionaryString, Object) |
Detect faces in an image's byteData.
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| DetectFaces(VisualRecognitionSuccessCallbackDetectedFaces, VisualRecognitionFailCallback, String, DictionaryString, Object) |
Detects faces in a jpg, gif, png or zip file.
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| DownloadCoreMLModel | |
| GetClassifier |
Gets a classifier by classifierId.
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| GetClassifiersBrief |
Gets a list of all classifiers.
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| GetClassifiersVerbose |
Gets a list of all classifiers.
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| GetCoreMLModel | |
| TrainClassifier(VisualRecognitionSuccessCallbackClassifierVerbose, VisualRecognitionFailCallback, String, DictionaryString, Byte, Byte, String, DictionaryString, Object) |
Trains a classifier
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| TrainClassifier(VisualRecognitionSuccessCallbackClassifierVerbose, VisualRecognitionFailCallback, String, DictionaryString, String, String, String, DictionaryString, Object) |
Trains a classifier. Training requires a total of at least two zip files: Two positive example zips with
at least 10 positive examples each or one zip file of 10 positive examples and a zip file of 10 negative examples.
The total size of all files must be below 256mb. Additional training can be done by using UpdateClassifier.
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| UpdateClassifier(VisualRecognitionSuccessCallbackClassifierVerbose, VisualRecognitionFailCallback, String, String, DictionaryString, Byte, Byte, String, DictionaryString, Object) |
Updates a classifier using byte data.
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| UpdateClassifier(VisualRecognitionSuccessCallbackClassifierVerbose, VisualRecognitionFailCallback, String, String, DictionaryString, String, String, String, DictionaryString, Object) |
Updates a trained classifier. The total size of all files must be below 256mb.
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Methods