How to use different sized images to train a CNN
1 view (last 30 days)
I need to train a CNN for image category classification of vehicle images, the images in data set that I have are of different sizes, and according to my knowledge we have to use a data set of same size for the image input layer, my questions are:
- how can I use different sized image data set in CNN?
- can this issue be resolved by image padding? and how to do it?
- will padding reduce the accuracy of trained CNN?