Machine Learning using Image Labeler App, Classification Learner App

8 次查看（过去 30 天）
Navya Prakash
Navya Prakash 2019-8-15
回答： Drew 2022-10-18
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.

请先登录，再回答此问题。

回答（1 个）

Drew
Drew 2022-10-18
Here is an example of how to extract image features using a pretrained network, and then build a classifier with those features:
https://www.mathworks.com/help/deeplearning/ug/extract-image-features-using-pretrained-network.html
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.

类别

在 Help Center 和 File Exchange 中查找有关 Ground Truth Labeling 的更多信息

标签

产品


版本

R2019a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by