MESA: A Multi-Environment Synthetic Adaptation Dataset for visual SLAM Evaluation and Feature Learning

This repository contains a dataset of image sequences produced in virtual environments as part of our work in the European Conference on Mobile Robots 2025. It mainly targets the training and evaluation processes of Deep Learning architectures for visual SLAM and Path Planning architectures in dynamic and highly varying conditions. Acknowledgment This research is implemented in the framework of H.F.R.I call ``Basic research Financing (Horizontal support of all Sciences)'' under the National Recovery and Resilience Plan ``Greece 2.0'' funded by the European Union – NextGenerationEU (H.F.R.I. Project Number: 15339). We encourage the utilization of our dataset under the restriction of following the above acknowledgment. For more information, please visit the project's official website or contact us at: lbampis [at] ee.duth.gr