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Model Detail

facebook logo

sam3

▼ 0.7%
Provider: MetaCategory: otherPipeline: mask-generation
DB Score
1.8
Downloads
2.1M
Likes
3K
Day
-0.7%
Week
+0.0%
Month
+0.0%
Overview

sam3 is an AI model with 430M parameters released by Meta. The model is registered under the mask-generation pipeline tag on Hugging Face, distributed under a other license.

Technical

sam3 ships with 430M parameters. Access is gated on Hugging Face under the other license, which means a manual approval step before weights can be downloaded.

Trending Signal

Downloads of sam3 have moved -0.7% over the past 24 hours. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

sam3 is best fit for workloads that match the mask-generation pipeline tag. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Model Info
Licenseother
Recent newsView all news →
Related News
arxiv38d ago

SAM3D-Guided Object-Centric Representation Alignment for Vision-Language-Action Models

arXiv:2607.25912v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have shown strong potential for general robot manipulation, but most existing models rely on 2D visual-language backbones and lack fine-grained 3D understanding of target objects, especially under occlusion, pose v

arxivneutral107d ago

Is SAM3 ready for pathology segmentation?

arXiv:2604.18225v3 Announce Type: replace-cross Abstract: Is Segment Anything Model 3 (SAM3) capable in segmenting Any Pathology Images? Digital pathology segmentation spans tissue-level and nuclei-level scales, where traditional methods often suffer from high annotation costs and poor generalizatio

arxiv136d ago

CoCo-SAM3: Harnessing Concept Conflict in Open-Vocabulary Semantic Segmentation

arXiv:2604.19648v1 Announce Type: cross Abstract: SAM3 advances open-vocabulary semantic segmentation by introducing a prompt-driven mask generation paradigm. However, in multi-class open-vocabulary scenarios, masks generated independently from different category prompts lack a unified and inter-cla

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