SVM and Random Forest are the two primary ‘traditional’ machine learning algorithms used for data / image analysis. Therefore, it only makes sense to compare both approaches for the task of image segmentation. Random Forest based image segmentation has been covered in a previous tutorial. This tutorial goes through the process of switching the classifier from Random Forest to SVM in Python and then comparing results between both classifiers. Spoiler alert - Random Forest is much faster and more accurate than SVM for image segmentation purposes.

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SVM vs. Random Forest for image segmentation
3.15 GEEK