SigLIP 2
Scores images against text, for zero-shot triage and text search across image collections.
- Field
- Cross-domain
- Method
- Foundation model
- Data it takes
- imagery
- License
- Apache-2.0
SigLIP 2 embeds images and text into one space, so an image can be scored against a written description with no training. That supports searching a photograph archive by description, and sorting a large collection into rough groups before anyone opens it.
This is the general-purpose counterpart to RemoteCLIP and DOFA-CLIP, which were trained on overhead imagery. For aerial and satellite scenes those two describe the content better.
Scores are relative within a comparison. They rank candidates and do not give a calibrated probability that a description is correct.
Catalog entry last checked 2026-09-08. All models →
Run SigLIP 2 on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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