SigLIP is Google's successor to CLIP that uses a sigmoid loss for improved performance. This large-patch16-384 variant supports zero-shot image classification and vision-language tasks. The model is available on Hugging Face and can be used for retrieval, classification, and as a powerful multimodal embedding backbone.
Siglip Large Patch16 384 is an Other AI project. It focuses on performing image classification and retrieval without task-specific training using natural language labels. Siglip Large Patch16 384 is an open-source project aimed at computer vision and multimodal AI developers. Siglip Large Patch16 384 is open source under the Apache-2.0 license. It runs on the web and API.
Google builds and maintains Siglip Large Patch16 384, and it first shipped in 2022. Development happens publicly on GitHub with 3.5k stars. It operates in a well-populated space: PulseGate tracks 12 similar projects. Among its 3 catalogued features are Zero-shot Classification, Vision-Language Alignment, and Contrastive Learning. It exposes integrations via a public API.
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