In the data-sets like coco-text and total-text, the images are of different sizes (height*width). I'm using these data sets for text detection. I want to create a DNN model for this. So input data should be of same size. If I resize these images to a fixed size, annotations given in the data-set that is the location of the text in the images will be changed.
So how to proceed with these data-set? I'm new to machine learning and I didn't get answer for this anywhere. Thanks for the help.