Batch Classify

NI Classification Training Interface

Batch Classify

Batch Training Batch Results

Use Tools»Batch Classify to classify a folder of images.

Complete the following steps to classify a folder of images:

  1. Click Tools»Batch Classify.
  2. Click the Browse button to select the folder of images to classify. After you have selected the folder of images, click Select Cur Dir.
  3. Click Draw ROI to select an ROI around the sample to classify.
    Note  Make sure the ROI encompasses the sample to classify in all images in the folder.
  4. Use Batch Classification to verify the accuracy of the classifier. You must provide the labels of all images in the folder in order to verify the accuracy of the classifier.
    • To check the accuracy of the classification, enable the Verify Classification option.
    • Click the Browse button to select a Results File Path. This file is a delimited text file that contains a corresponding label for each image.
  5. Click Classify to classify the samples in all the images in the folder. The training process trains and classifies the samples.

A dialog box displays the results of the batch classification. The first tab displays the label and scores for each sample as well as if it was properly classified. The second tab displays the score histogram, which displays the number of each sample for each score value. The third tab displays the number of samples, standard deviation, accuracy, and predictive value for each class. The fourth tab displays the classification distribution. The last tab displays the mean distance from each class to each other class.