# SigLIP 2: A better multilingual vision language encoder

DevFeed: [SigLIP 2: A better multilingual vision language encoder](<https://devfeed.tech/articles/siglip-2-a-better-multilingual-vision-language-encoder-7474.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/siglip2>)

Author: Aritra Roy Gosthipaty; merve; Pavel Iakubovskii

Published: 2025-02-21T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [computer-use](<https://devfeed.tech/topics/computer-use.md>), [object-detection](<https://devfeed.tech/topics/object-detection.md>), [Google AI](<https://devfeed.tech/topics/google-ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [object-detection](<https://devfeed.tech/tags/object-detection.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [performance](<https://devfeed.tech/tags/performance.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [train](<https://devfeed.tech/tags/train.md>), [training](<https://devfeed.tech/tags/training.md>), [vision](<https://devfeed.tech/tags/vision.md>), [vlms](<https://devfeed.tech/tags/vlms.md>), [zero-shot](<https://devfeed.tech/tags/zero-shot.md>)

## AI overview

Google's SigLIP 2 is a multilingual vision-language encoder family that extends SigLIP's sigmoid-loss training with additional objectives for semantic understanding, localization, and dense visual features. The models improve on SigLIP across scales and core capabilities including zero-shot classification, image-text retrieval, and visual representation transfer, with a dynamic-resolution variant for resolution- and aspect-ratio-sensitive tasks.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.