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()?

ANSWER provide latest MatLab Homework Help,MatLab Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.

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')



Popular posts from this blog

Why are Fourier series important? Are there any real life applications of Fourier series?

What are some good alternatives to Simulink?

What is the difference between a reversible machine and a self-locking machine?