Such a great idea. It's nice that with cannabis, despite there being so many cultivars, it's such a large industry based around essentially one plant. And while some varieties can look quite different, I think your API should generally be effective.
I've been thinking about similar systems for tissue cultures but I can't seem to find a way to generalize and still get good training data or effective results. Once you lose track of white balance, species, optical clarity and distortion from the vessel, etc... Results decline quite a bit in my experience. It makes it a neat yet fairly useless system outside of itself.
Granted, I have no idea what I'm doing and these could be solvable problems. Certainly much easier to solve by focusing on a single species.
I'm impressed with how well it classifies based on the image examples. A little over a million images is probably what makes it possible. My experiments have been much smaller. Maybe with more material I could overcome those limitations I mentioned, but I have a feeling the multi-species pipeline really drags it down.
Have you found that light temperature no longer skews feedback after so much training data? For me it really matters, causing classification to confuse light sources with actual plant condition (hence the colour card for white balance helping so much)
I've been thinking about similar systems for tissue cultures but I can't seem to find a way to generalize and still get good training data or effective results. Once you lose track of white balance, species, optical clarity and distortion from the vessel, etc... Results decline quite a bit in my experience. It makes it a neat yet fairly useless system outside of itself.
Granted, I have no idea what I'm doing and these could be solvable problems. Certainly much easier to solve by focusing on a single species.
I'm impressed with how well it classifies based on the image examples. A little over a million images is probably what makes it possible. My experiments have been much smaller. Maybe with more material I could overcome those limitations I mentioned, but I have a feeling the multi-species pipeline really drags it down.
Have you found that light temperature no longer skews feedback after so much training data? For me it really matters, causing classification to confuse light sources with actual plant condition (hence the colour card for white balance helping so much)