Labeling images using own trained classifier

Hi, I have created a classifier using CNN (vgg16) for the feature extraction and KNN to classify using a dataset made of 1000 images with accuracy of 96% for train and 94% for test. The question is: How can I use my classifier to label one given image? Say I have one image on an apple and I want my classifier to recognize the apple, how can I know the corresponding label of the image (in this case apple)?

What kind of function should I use? predict()?

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try like this:

newImage = imread(fullfile(rootFolder, 'airplanes', 'image_0690.jpg'));% Create augmentedImageDatastore to automatically resize the image when
% image features are extracted using activations.
ds = augmentedImageDatastore(imageSize, newImage, 'ColorPreprocessing', 'gray2rgb');
% Extract image features using the CNN
imageFeatures = activations(net, ds, featureLayer, 'OutputAs', 'columns');
% Make a prediction using the classifier
label = predict(classifier, imageFeatures, 'ObservationsIn', 'columns')

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