Hello Raymond,
I understand that you are facing an error while training a ‘fastRCNNObjectDetector’ network based on Resnet-50 on your custom training Data.
The error message essentially suggests that there is an anomaly in the training data as you rightly pointed out.
The training data expected by the network is supposed to contain the bounding boxes as M-by-4 matrices where each row is of the form [x, y, width, height], where [x, y] represent the top-left coordinates of the bounding box and [width, height] represent the width and height of the bounding box. The labels should be a cell-array that contains M-by-1 categorical vectors with class names.
I can see that some of the bounding boxes and labels are empty in the training data. Therefore, I suggest you to either modify those entries or remove them.
Refer to the ‘trainingData’ section in the following documentation to understand more about the required format -
Hope this helps you proceed further!
