Try the Model

Use the widget below to experiment with PaliGemma VQA. You can detect COCO classes such as people, vehicles, animals, household items.

Overview

You can use the set of PaliGemma weights trained on the VQAv2 dataset for asking questions about the contents of images.

See the official PaliGemma model card for more information about PaliGemma.

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PaliGemma VQA License

PaliGemma VQA

is licensed under a

license.

Performance

Deploy a PaliGemma VQA API

You can use Roboflow Inference to deploy a

PaliGemma VQA

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

Label Data Automatically with PaliGemma VQA

You can automatically label a dataset using PaliGemma VQA with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use PaliGemma VQA to train a computer vision model.

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