Training data from a read of the input datastore contains invalid bounding boxes?

Hello guys i'm trying this code and i don't know what to do to fix the problem

data = load('Damagevehicle.mat');
trainingData = data.Damaaaage;
rng(0);
shuffledIdx = randperm(height(trainingData));
trainingData = trainingData(shuffledIdx,:);
imds = imageDatastore(trainingData.imageFilename);

blds = boxLabelDatastore(trainingData(:,2:end));
ds = combine(imds, blds);
net = load('yolov2VehicleDetector.mat');
lgraph = net.lgraph;
lgraph.Layers;
options = trainingOptions('sgdm','InitialLearnRate',0.001,...
    'Verbose',true,'MiniBatchSize',32,'MaxEpochs',30,...
    'Shuffle','never','VerboseFrequency',30,...
    'CheckpointPath',tempdir);
[detector,info] = trainYOLOv2ObjectDetector(ds,lgraph,options);

The error i got:

Invalid transform function defined on datastore.

The cause of the error was:

Error using vision.internal.cnn.validation.checkTrainingBoxes (line 12)

Training data from a read of the input datastore contains invalid bounding boxes. Bounding boxes must be non-empty,

fully contained within their associated image and must have positive width and height. Use datastore transform method

and remove invalid bounding boxes.

Error in vision.internal.cnn.yolo.validateImagesAndBoxesTransform (line 22)

vision.internal.cnn.validation.checkTrainingBoxes(images, boxes);

Error in

trainYOLOv2ObjectDetector>@(data)vision.internal.cnn.yolo.validateImagesAndBoxesTransform(data,params.InputSize) (line

285)

transformFcn = @(data)vision.internal.cnn.yolo.validateImagesAndBoxesTransform(data,params.InputSize);

Error in matlab.io.datastore.TransformedDatastore/applyTransforms (line 607)

data = ds.Transforms{ii}(data);

Error in matlab.io.datastore.TransformedDatastore/read (line 222)

[data, info] = ds.applyTransforms(data, info);

Error in nnet.internal.cnn.DataLoader/manageReadQueue (line 182)

data = read(self.Datastore);

Error in nnet.internal.cnn.DataLoader/readAhead (line 213)

manageReadQueue(self);

Error in nnet.internal.cnn.DataLoader (line 81)

readAhead(self);

Error in nnet.internal.cnn.GeneralDatastoreDispatcher (line 275)

this.DataLoader = nnet.internal.cnn.DataLoader(ds,...

Error in nnet.internal.cnn.DataDispatcherFactory.createDataDispatcherMIMO (line 186)

nnet.internal.cnn.GeneralDatastoreDispatcher( ...

Error in vision.internal.cnn.trainNetwork>iCreateTrainingDataDispatcher (line 208)

dispatcher = nnet.internal.cnn.DataDispatcherFactory.createDataDispatcherMIMO( ...

Error in vision.internal.cnn.trainNetwork (line 46)

trainingDispatcher = iCreateTrainingDataDispatcher(ds, mapping, trainedNet,...

Error in trainYOLOv2ObjectDetector>iTrainYOLOv2 (line 434)

[yolov2Net, info] = vision.internal.cnn.trainNetwork(...

Error in trainYOLOv2ObjectDetector (line 198)

[net, info] = iTrainYOLOv2(ds, lgraph, params, mapping, options, checkpointSaver);

Error in final1 (line 17)

[detector,info] = trainYOLOv2ObjectDetector(ds,lgraph,options);