Update lds.159

lds.159

@@ -1,3 +1,41 @@
 unzip vehicleDatasetImages.zip
 data = load("vehicleDatasetGroundTruth.mat");
-vehicleDataset = data.vehicleDataset;
+vehicleDataset = data.vehicleDataset;
+
+rng(0)
+shuffledIndices = randperm(height(vehicleDataset));
+idx = floor(0.6 * height(vehicleDataset));
+
+trainingIdx = 1:idx;
+trainingDataTbl = vehicleDataset(shuffledIndices(trainingIdx),:);
+
+validationIdx = idx+1 : idx + 1 + floor(0.1 * length(shuffledIndices) );
+validationDataTbl = vehicleDataset(shuffledIndices(validationIdx),:);
+
+testIdx = validationIdx(end)+1 : length(shuffledIndices);
+testDataTbl = vehicleDataset(shuffleIndices(testIdx),:);
+
+imdsTrain = imageDatastore(trainingDatatbl{:,"imageFilename"});
+bldsTrain = boxLabelDatastore(trainingDataTbl(:,"vehicle"));
+
+imdsValidation = imageDatastore(validationDataTbl{:,"imageFilename"});
+bldsValidation = boxLabelDataStore(validationDatatbl(:,"vehicle"));
+
+imdsTest = imageDatastore(testDataTbl{:"imageFilename"});
+bldsTest = boxLabelDatastore(testDataTbl(:,"vehicle"));
+
+// Combine image and box label datastores
+
+trainData = combine(imdsTrain,bldsTrain);
+validationData = combine(imdsValidation,bldsValidation);
+testData = combine(imdsTest,bldsTest);
+
+//Display one of the training images and box labels
+
+data = read(trainingData);
+I = data{1};
+bbox = data{2};
+annotatedImage = insertShape(I"rectangle",bbox);
+annotatedImage = imresize(annotatedImage,2);
+figure
+imshow(annotatedImage)