Training my YOLOv2 object detector failed

I have created my network using the pre-trained network resnet18, and with the following code:

numClases = 9;

tamanio = [224 224 3];

anchorBoxes = estimateAnchorBoxes(TrainingEscalado,numClases)

red = resnet18();

arquitectura = yolov2Layers(tamanio,numClases,anchorBoxes,red,"res5b_relu","ReorgLayerSource","res3a_relu")

"TrainingEscalado" is the datastore for training already scaled to network's inputs size. When I import the network into the Deep Network Designer app, I don't have errors, and the same happens when I import the datastore for training.

But as I click train, an error message is displayed with the following content:

And I don't know what to do to fix it, the network already has 9 classes as output so I don't know what fails.

Answer 1

[yanqi liu]

yes，sir，may be use yolo v3、v4 to test，such as

https://ww2.mathworks.cn/matlabcentral/fileexchange/72520-yolov3-yolov4-matlab

[Jesús Silva]

I don't understand, the problem is the version of YOLO that I'm using? If I use YOLO v3 or v4 it would be fine?