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Detection accuracy is fine. We are actually at a point where NNs can make photos :) Convert string:"this small bird has a pink breast and crown, and black prim

• simias 9y ago
  That's impressive, but I'll point out that the bird photos in this video are all clean, well focused close ups, that's probably easier to process than random pictures. If you wanted a general algorithm working on non-curated data (like tagging facebook photos for instance) I'm sure it would be significantly harder.
  • nl 9y ago
    Check out the (deliberately blurry) examples in https://arxiv.org/pdf/1703.05393.pdf https://arxiv.org/pdf/1703.05393.pdf where it can distinguish between blurred, low resolution pictures of different types of crows. It's only ~50% accuracy, but the photos are terrible. Much worse than Facebook pics. OTOH, this is classification into hundreds of classes, not millions like in the case of FB face recognition. (Although of course that can use the connectivity graph as a filter on that too).