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  • Ideology [she/her]
    ·
    edit-2
    3 years ago

    Lemmygrad has a better post than reddit, imo.

    https://lemmygrad.ml/post/258846

    Also, this image has an artifact on the lower left. And I saw at least three guys who were blind in their left eye but with varying degrees of discoloration and only one of them was old enough for it to look like it "fit" as far as degenerative diseases go.

    Edit: Lemmygrad found that same artifact in multiple images. :concerned-confusion:

      • Ideology [she/her]
        ·
        edit-2
        3 years ago

        Why would you need to rotate the image for facial recognition? That might've been necessary 10-20 years ago but scanners I've used from China can do a face match with live video on a moving target no problem, and it ran on a cheap tablet.

        • Budwig_v_1337hoven [he/him]
          ·
          3 years ago

          not for the actual recognition I imagine, but for training a model you'd want your training data to be somewhat consistent (faces in the middle, no rotation, neutral background, similar lighting etc)

          • QuillcrestFalconer [he/him]
            ·
            3 years ago

            Not really, if you want a robust recognition system. In fact it's often normal in image sets to create part of your training data by transforming pictures of your training set, for example by rotating, translating, scaling etc

            • Budwig_v_1337hoven [he/him]
              ·
              3 years ago

              really depends on what exactly your doing, I'd say. Sure, variety is generally good but only in so far as it's actually required in the particular use case.
              All I'm saying is this doesn't seem like an entirely implausible explanation. You can even see the old image under the rotated one - not exactly looking like a typical AI generated media glitch, from what I've seen so far.

          • Ideology [she/her]
            ·
            3 years ago

            So, my question, then, would be to ask why they're using their target pop in a training set when the system is live.

            • Budwig_v_1337hoven [he/him]
              ·
              3 years ago

              If I'd have to guess, I'd say refinement. Further training in an effort to get accuracy up. As good as these systems are, they're never fully accurate, never truly 'finished'

              All that being said, this is just me taking some stabs in the dark.

          • Ideology [she/her]
            ·
            3 years ago

            I don't see how. Modern systems don't need photo editing. You literally just stare into it and it draws lines on your face in real time live video. They also have cameras that can ID you by your walking gait and even just based on your eyes if you have a mask on.

    • Ideology [she/her]
      ·
      3 years ago

      Something else, I was pretty creeped out by the new Kendrick music video with face swapping. It's like the powers that be are showing off their new abilities through the medium of a sincere anti-establishment artist.

      • MerryChristmas [any]
        ·
        3 years ago

        Even the makeup filters on social media are miles ahead of where they used to be. It's already being normalized for the next generation.