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That's exactly what I thought up without having any experience in the area. So, basically do what a person would do -- identify simple features visually and th
by lmilcin 5y ago
That's exactly what I thought up without having any experience in the area.
So, basically do what a person would do -- identify simple features visually and then consult the book to go through decision tree to figure out what you are looking at based on these features.
As you go through decision tree, you keep excluding more and more possibilities until you are left with only one match.
You would never mistake oak with a cactus because there are so many occasions on this decision tree to go one or the other way that you would have to make multiple mistakes.
But that's exactly what the algorithm seems to be doing -- mistaking plants that are very far away from each other when it comes to their build.
- IgorPartola 5y agoThat’s the same problem you might have with a self driving car driven by an ML algorithm: is that an open lane or someone wearing a black outfit with white stripes?
- filoeleven 5y agoThankfully, the plants and the app user are both moving a lot slower.