Machine Learning using Image Labeler App, Classification Learner App
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
I have a image dataset which has defect data and good data (positive and negative dataset). I have used the Image labeler app for labeling defects and good bounding boxes for my entire dataset. I would like to apply HOG feature extraction on the defect and good labels from the gTruth obtained from the Image labelling session. I also would like to feed in these features extracted to the SVM using Classification learner app.
0 comentarios
Respuestas (1)
Drew
el 18 de Oct. de 2022
Here is an example of how to extract image features using a pretrained network, and then build a classifier with those features:
When extracting the features, you can substitute HOG instead of the pretrained network: https://www.mathworks.com/help/vision/ref/extracthogfeatures.html
When building the SVM classfier, you can substitute the Classification Learner App instead of using the MATLAB commandline.
0 comentarios
Ver también
Categorías
Más información sobre Get Started with Statistics and Machine Learning Toolbox en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!