Prepare svm datasets for multi svm

Prepare Training set, Test set and Train groups(labels) for multisvm
1.3K Downloads
Updated 13 Mar 2013

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please note that this function will give test set and training set images separately as a output and will convert images to grayscale.
This function will take four input variables and will give three output variables, which are as follows:
Input : TrainingSet_location, No_Testset,width, height
Output : Train_Set,Test_Set,train_label

Input:
TrainingSet_location : Only o/p of function DirRead is accepted or an array of locations
No_Testset : No of testset images per class.
width, height are resize parameters of images.

Cite As

om choudhary (2024). Prepare svm datasets for multi svm (https://www.mathworks.com/matlabcentral/fileexchange/40021-prepare-svm-datasets-for-multi-svm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
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Version Published Release Notes
1.2.0.0

No of training sets can be given now along with the no of test set

1.0.0.0