Interesting. Wasn't Deepseek's founder saying that they had explicitly decided not to focus on multimodal models at all and were going text-only because they believed it was enough to achieve AGI?
DeepSeek-v4-flash-vision-exp
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Re: DeepSeek-v4-flash-vision-exp
#12800x800 is 640,000 pixels, or 0.64 Megapixels. That is less than the resolution of computer screens from 1995, Super VGA which has around 0.79 MPs.
This is useful for a reasonable amount of use-cases, but I think the watershed rez will be around triple that, ~1080p, which is enough for almost anything, except small text and subtle details.
Re: DeepSeek-v4-flash-vision-exp
#13Congratulations! DeepSeek has finally gained eyes — the dark days are about to be behind us.
Re: DeepSeek-v4-flash-vision-exp
#14DS being unable to precisely view Playwright screenshots is the only thing I really miss from Sonnet. This is promising. > Images are converted into tokens based on their dimensions, and these tokens are billed together with your text tokens. > Before inference, every image is automatically resized: > - Images with a total pixel count below roughly 384×384 are scaled up while preserving their aspect ratio. > - Larger…
Oof 800 by 800 kills a lot of use cases
For most use cases you can fix that in the harness. Just give the model a tool to request a crop of specific coordinates of any image it has in its context. Call the tool "zoom" and it should be intuitive for the model
Maybe there are some use cases where you need high detail everywhere at once, but for OCR of small text and the like a zoom ability should be sufficient
Re: DeepSeek-v4-flash-vision-exp
#15800x800 is 640,000 pixels, or 0.64 Megapixels. That is less than the resolution of computer screens from 1995, Super VGA which has around 0.79 MPs. This is useful for a reasonable amount of use-cases, but I think the watershed rez will be around triple that, ~1080p, which is enough for almost anything, except small text and subtle details.
You'd expect a tool-enabled model to leverage crop and zoom tools to inspect and validate what it thinks it's seeing, though.
Re: DeepSeek-v4-flash-vision-exp
#16Re: DeepSeek-v4-flash-vision-exp
#17DS being unable to precisely view Playwright screenshots is the only thing I really miss from Sonnet. This is promising. > Images are converted into tokens based on their dimensions, and these tokens are billed together with your text tokens. > Before inference, every image is automatically resized: > - Images with a total pixel count below roughly 384×384 are scaled up while preserving their aspect ratio. > - Larger…
Oof 800 by 800 kills a lot of use cases
Might still be fine. The most recent crop of vLLMs proactively use whichever programs are available on the system (e.g. ImageMagick or PIL) to "zoom in" by cropping subimages if they can't quite make out the details.
Re: DeepSeek-v4-flash-vision-exp
#18Re: DeepSeek-v4-flash-vision-exp
#19DS being unable to precisely view Playwright screenshots is the only thing I really miss from Sonnet. This is promising. > Images are converted into tokens based on their dimensions, and these tokens are billed together with your text tokens. > Before inference, every image is automatically resized: > - Images with a total pixel count below roughly 384×384 are scaled up while preserving their aspect ratio. > - Larger…
Oof 800 by 800 kills a lot of use cases
It might also be due to its experimental status. Wouldn't surprise me if the GA version allows for larger input. Either that or the eventual pro version.
Re: DeepSeek-v4-flash-vision-exp
#20[dead]