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I don’t consider it against the rules of the bet to allow multiple pictures, including the underside and perhaps even “here, smush the mushroom on a piece of pa
by boulos 7y ago
I don’t consider it against the rules of the bet to allow multiple pictures, including the underside and perhaps even “here, smush the mushroom on a piece of paper and take a picture of that”. My question is can a vision-based AI thing outperform humans within another thirty years, not if it can do it via a mechanism that isn’t discriminating.
For all the myco folks here: Do you have a sense of whether or not the multiple hours mentioned is “required” or “just” makes it easier to get a strong signal? (That is, how much is the signal boost due to our inability to see well as humans)
[1] https://en.m.wikipedia.org/wiki/Spore_print https://en.m.wikipedia.org/wiki/Spore_print
- homerowilson 7y agoWe foragers and amateur mycologists use smell, touch (slimy, dry, etc,) sometimes taste (bitter, acrid,...), habitat (on wood, ground, type of wood, is there a bulb below ground or a root-like structure, time of year, spore prints, sometimes color change due to drops of chemicals (especially on boletes), sometimes even microscopes to view spores, and more. all of these variables could of course be coded for a good classification algorithm. just saying, it's often more than simply visual.
- yostrovs 7y agoIt's mostly visual. I would add location and latest weather to any software trying to recognize the mushroom. The mushrooms that people commonly forage for are not that numerous, so the algorithm needs to know about a dozen or two varieties. Chanterelles are easy to tell from images. You can probably have an AI chanterelle identifier coded right now and for most edible mushrooms very soon if not now.