I have a 8792x11 table with my dataset labeled with the Image Labeler:
1st column: imageFilename;
from 2nd to 11th column: different labels with the rectangles' dimensions, exactly as how the ground-truth dataset must be for Faster R-CNN training.
But MathWorks' examples show how to train the network with a one-labeled dataset.
How to train the net with a multi-labeled ground-truth table?