How does size of training image matter with Image Classification results of Mxnet?
I received fairly good results when classifying a object into “Good” and “Faulty” parts and training image size of 240x240px. But when I created a model with higher resolution (480x480) to identify minor defects that were not clear in 240x240 images, the classification results were poorer than before.
What could be the reason behind this?
Thanks in advance.