Microsoft.ML.Vision Namespace

Namespace containing image classification components.

Classes

ImageClassificationModelParameters	Image Classification predictor. This class encapsulates the trained Deep Neural Network(DNN) model and is used to score images.
ImageClassificationTrainer	The IEstimator<TTransformer> for training a Deep Neural Network(DNN) to classify images.
ImageClassificationTrainer.BottleneckMetrics	Metrics for image featurization values. The input image is passed through the network and features are extracted from second or last layer to train a custom full connected layer that serves as classifier.
ImageClassificationTrainer.EarlyStopping	Early Stopping feature stops training when monitored quantity stops improving'. Modeled after https://github.com/tensorflow/tensorflow/blob/00fad90125b18b80fe054de1055770cfb8fe4ba3/ tensorflow/python/keras/callbacks.py#L1143
ImageClassificationTrainer.ImageClassificationMetrics	Metrics for image classification bottleneck phase and training. Train metrics may be null when bottleneck phase is running, so have check!
ImageClassificationTrainer.Options	Options class for ImageClassificationTrainer.
ImageClassificationTrainer.TrainMetrics	DNN training metrics.

Enums

ImageClassificationTrainer.Architecture	Image classification model.
ImageClassificationTrainer.EarlyStoppingMetric	Indicates the metric to be monitored to decide Early Stopping criteria.
ImageClassificationTrainer.ImageClassificationMetrics.Dataset	Indicates the kind of the dataset of which metric is reported.