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It is not believable that someone would pay humans to label 400mln or 5bln images/samples to train a model on them, but I guess if you argument is "everything i

by GaggiX 4y ago

It is not believable that someone would pay humans to label 400mln or 5bln images/samples to train a model on them, but I guess if you argument is "everything is possible" then gotcha

devmor 4y ago
You seem to be confusing "possibility" with your personal opinion on what you think would be done by others.
- GaggiX 4y ago
  As a human being I know human limitations, explicitly labeling 400mln/5bln images for a particular task seems absurd to me, but if you think it is realistically possible perhaps you can give an example.
satvikpendem 4y ago
If it's done in a reCAPTCHA like way, it can be done fairly efficiently and for cheap. In fact Scale AI does just this, they do manual labor operations such as captioning images, as an API. Here's their product for image labeling: https://scale.com/rapid https://scale.com/rapid. Unstable Diffusion is also doing their captioning like how I mentioned, with groups of volunteers as well as hired individuals.
- GaggiX 4y ago
  Scale seems to do, for example, image classification but not captioning as it would be hard to compare the results with others people to verify the quality (when you have a discrete number of classes is really straightforward), also can you report where you read about the Unstable Diffusion plan for manually labeling image datasets? I want to dig deeper
  - satvikpendem 4y ago
    From their Reddit post about this: https://old.reddit.com/r/StableDiffusion/comments/zhg18s/unstable_diffusion_here_were_excited_to_announce/ https://old.reddit.com/r/StableDiffusion/comments/zhg18s/uns...
    - GaggiX 4y ago
      > We are releasing Unstable PhotoReal v0.5 trained on thousands of tirelessly hand-captioned images They seem to have created a much smaller dataset than LAION's, it would not work to train a generative model on such a small amount of images (obviously the images here do not have a single domain).

by GaggiX 4y ago

It is not believable that someone would pay humans to label 400mln or 5bln images/samples to train a model on them, but I guess if you argument is "everything is possible" then gotcha

devmor 4y ago

You seem to be confusing "possibility" with your personal opinion on what you think would be done by others.

GaggiX 4y ago
As a human being I know human limitations, explicitly labeling 400mln/5bln images for a particular task seems absurd to me, but if you think it is realistically possible perhaps you can give an example.

satvikpendem 4y ago

If it's done in a reCAPTCHA like way, it can be done fairly efficiently and for cheap. In fact Scale AI does just this, they do manual labor operations such as captioning images, as an API. Here's their product for image labeling: https://scale.com/rapid https://scale.com/rapid. Unstable Diffusion is also doing their captioning like how I mentioned, with groups of volunteers as well as hired individuals.

GaggiX 4y ago
Scale seems to do, for example, image classification but not captioning as it would be hard to compare the results with others people to verify the quality (when you have a discrete number of classes is really straightforward), also can you report where you read about the Unstable Diffusion plan for manually labeling image datasets? I want to dig deeper
- satvikpendem 4y ago
  From their Reddit post about this: https://old.reddit.com/r/StableDiffusion/comments/zhg18s/unstable_diffusion_here_were_excited_to_announce/ https://old.reddit.com/r/StableDiffusion/comments/zhg18s/uns...
  - GaggiX 4y ago
    > We are releasing Unstable PhotoReal v0.5 trained on thousands of tirelessly hand-captioned images They seem to have created a much smaller dataset than LAION's, it would not work to train a generative model on such a small amount of images (obviously the images here do not have a single domain).