Hi Shivani. Thanks for your reply. If by cell size you mean resolution, the cell size is about 10cm. I collected this data with a UAV. I do actually have a polygon feature class which outlines the objects that need to be classified (I forgot to mention this in my original post).
The thing is- I do not need help in training the model itself, I have already experimented with the Deep Learning workflow in ArcGIS Pro and it performs well for what I need it to do. What I need help with is understanding the actual Deep Learning algorithm/architecture that is being used when I choose the "Feature Classifier" model type. To put this into context, when I build an Object Detection model, for example, by using Mask R-CNN, this is a defined deep learning model architecture that I can go and read about. However, I simply cannot find any literature regarding an architecture called "Feature Classifier". This is what I need help with.
