PaliGemma is an open Vision-Language Model (VLM)  that is based on the SigLIP-So400m vision encoder and the Gemma-2B language model.
It is trained to be a versatile and broadly knowledgeable base model that is effective to transfer. It achieves strong performance on a wide variety of open-world tasks.
We evaluate PaliGemma on almost 40 diverse tasks including standard VLM benchmarks, but also more specialized tasks such as remote-sensing and segmentation.