PaliGemma is a multimodal model developed by Google. PaliGemma uses a JSONL data format.
Overview
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Format Description
Below, learn the structure of PaliGemma JSONL.
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Split and Merge Datasets
With Roboflow supervision, an open source Python package with utilities for completing computer vision tasks, you can merge and split detections in PaliGemma JSONL. Read our dedicated guides to learn how to merge and split PaliGemma JSONL detections.
Split detections in PaliGemma JSONL
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Supported Models
Below, see model architectures that require data in the PaliGemma JSONL format when training a new model.
On each page below, you can find links to our guides that show how to plot predictions from the model, and complete other common tasks like detecting small objects with the model.
