Model Detail
sam3
▼ 2.0%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.
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.
Downloads of sam3 have moved -2.0% over the past 24 hours, -5.5% over the trailing seven days, +5.8% over the trailing thirty days. 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.
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.
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
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
