I've gone through the deep learning tutorial to detect palm trees in Tonga several times, each time thinking I could try something new to achieve better results. I have failed every time to come up with something even remotely better than old school image classification. I've spent months watching every video I can find and researching every article I can find about deep learning. Everything ESRI puts out shows people using Jupyter notebooks and they never explain exactly how to train those models using notebooks. They just show their final results, which of course always look good. There are several references to using the model provided by the "data scientist" but I've had a hard time finding useful examples for my application (detecting macadamia nut trees in an orchard). If you go through the deep learning tutorial for identifying palm tree health, the results are pretty much useless. Anyone know where else I can turn to get some better instruction?
