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()?
Neeta Dsouza answered .
2025-11-20
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')