Yolov3 training with custom dataset

Dear Community members

I was working on a object detection project on Yolov3 pretrained network. As mentioned here (https://www.mathworks.com/help/vision/ug/object-detection-using-yolo-v3-deep-learning.html) training and test data splitted.

unzip vehicleDatasetImages.zip
data = load('vehicleDatasetGroundTruth.mat');
vehicleDataset = data.vehicleDataset;

% Add the full path to the local vehicle data folder.
vehicleDataset.imageFilename = fullfile(pwd, vehicleDataset.imageFilename);

rng(0);
shuffledIndices = randperm(height(vehicleDataset));
idx = floor(0.6 * length(shuffledIndices));
trainingDataTbl = vehicleDataset(shuffledIndices(1:idx), :);
testDataTbl = vehicleDataset(shuffledIndices(idx+1:end), :);

Unlike given example I wanted to split my data 80 % for training data and the rest for test data. As I'm changing the (0.6) in the given code, I keep getting error of :

"Invalid transform function defined on the datastore".

Can you please help me with splitting my data?

Best regards,

Pooya.

[Mahesh Taparia]

Hi

It seems you are getting error on a datastore. Can you share that part of the code where you defined a transformed function on a datastore?