Show HN: Peekaboolean – image and jev-like typed questions in typed anwers out
Peek at an image, get booleans back: typed visual questions (choice, score, yes/no) with calibrated probabilities from a 500M VLM, ~400 ms on a MacBook - bykof/peekaboolean
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I trained a vision-language model that answers typed questions about an image. It uses also choice, score and noul, like Jev.
I thought, why Jev only processes text? There should be the possibility to process an image too. I will experiment with some pictures and questions in the next days to see, how well it performs in real life.
On my M1 Pro a request with six questionut 400 ms p95, about 60 ms on a desktop GPU. The server encodes the image once and scores each option as a short suffix against the KV
Looking forward to answer your questions! :)
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