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Marlin-2B: a tiny VLM to extract structured information from videos

Details

External ID
48183210
Source
HN
Company
—
Product
Marlin-2B: a tiny VLM to extract structured information from videos
Website domain
huggingface.co
Launched
May 18, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.4168012924071082
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
video editing and creation tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
small video language model for structured extraction
Manually corrected
False

Could you build this?

No Marlin-2B is a custom-trained multimodal vision-language model (VLM) specifically tailored for video understanding, temporal grounding, and structured data extraction.

What it would actually take: Training such a model requires an extensive curated dataset of video-text pairs with fine-grained temporal timestamps and structured annotations. The architecture relies on PyTorch/Hugging Face transformers with custom spatio-temporal video tokenization/pooling layers and multi-stage pre-training/fine-tuning across substantial GPU clusters. Accomplishing this requires deep deep-learning research expertise, multimodal ML engineering, and tens of thousands of dollars in compute.

Discussion

2 comments analyzed.

Competitors mentioned: SAM3

Competitors

Other products that read as similar to this one — 826 launches clear the similarity bar, closest 8 shown.

Attention rank: #460 of 827 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 199 days after the earliest competitor.

Other launches for this product

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