laya-vision
Image inputs for Laya: calibrated, non-generative typed decisions over images + text (SmolVLM-256M backbone)
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GITHUB · launched Sep 19, 2026 · 38 upvotes (top 22%) · 8 views
Niche: multimodal ai platforms and tools · 215 launches, 16 in the last 7 days ▼ -47% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 215 launches in multimodal ai platforms and tools →
Could you build this?
Partial While loading SmolVLM and wrapping it in an API is simple, calibrating non-generative classification/decision heads over vision models requires custom ML training pipelines and evaluation datasets.
What it would actually take: To build this, one needs PyTorch, Hugging Face Transformers, and a specialized vision-language backbone like SmolVLM-256M. The hard part is fine-tuning and calibrating the model heads for rigorous confidence scores and deterministic typed outputs rather than free-form text generation. This requires ML engineering expertise in model distillation, fine-tuning on multimodal benchmark data, and temperature/conformal calibration.
Competitors
Other products that read as similar to this one : 2891 launches clear the similarity bar, closest 8 shown.
Attention rank: #656 of 2892 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 325 days after the earliest competitor.
- laya.cpp · github · 2026-09-20 · 87 upvotes · similarity 0.63
- vegaml · github · 2026-10-09 · 199 upvotes · similarity 0.63
- djev-dev · github · 2026-09-19 · 142 upvotes · similarity 0.63
- jiffy · github · 2026-09-21 · 9 upvotes · similarity 0.61
- Pureza · github · 2026-09-20 · 16 upvotes · similarity 0.61
- decisionformer · github · 2026-10-22 · 37 upvotes · similarity 0.60
- decider · github · 2026-09-16 · 130 upvotes · similarity 0.59
- EvoVLM · github · 2026-10-02 · 475 upvotes · similarity 0.58
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.