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avibhu

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vibhu[dot]agrawal14[at]gmail

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Have you tried few shot prompting? Something on the lines of:

User: Extract x from the given scanned document. <sample_img_1>

Assistant: <sample_img_1_output>

User: Extract x from the given scanned document. <sample_img_2>

Assistant: <sample_img_2_output>

User: Extract x from the given scanned document. <query_image>

In my experience, this seems to make the model significantly more consistent.

In a an image with sufficient contrast between the foreground and the background, thresholding and using the fast radial symmetry transform[1] should do the trick. I have some really old code that I wrote a few years back that does something similar. I was able to use the same algorithm for counting objects in images captured from a Neubauer chamber [2] and saved countless man hours at my university.

Disclaimer: the project is really old, and from a time when I barely knew how to code. Lots of bad coding practices et al.

Github: https://github.com/vibhuagrawal14/segmentation-of-overlappin...

[1] https://link.springer.com/content/pdf/10.1007%2F3-540-47969-...

[2] https://www.researchgate.net/figure/Images-of-Canis-familiar...

Point 2 makes me think of the (reasonably) realistic expectations that game makers have with regard to the prospective release of next gen consoles. Guessing when the next gen consoles will be launched and creating a game time line around that feels intriguing in itself.