From the source
From the source
Google Research introduces MapTrace, a synthetic data generation pipeline and dataset of 2 million question-answer pairs to teach multimodal large language models to trace valid paths on maps, addressing a gap in spatial reasoning.
The pipeline uses Gemini 2.5 Pro and Imagen-4 models to generate diverse maps and produce pixel-level annotations.
From the source
To address this challenge, in “MapTrace: Scalable Data Generation for Route Tracing on Maps”, we introduce a new task, dataset, and synthetic data generation pipeline designed to teach MLLMs the fundamental skill of tracing paths on maps. ... We also open-source 2M question answer pairs generated with the proposed pipeline utilizing Gemini 2.5 Pro and Imagen-4 Models to encourage the research community to further explore this area.
research.google