Datasets

Datasets

Symphony Lake Dataset consists of 121 visual surveys of a lakeshore over more than three years in Metz, France. Unique from roadway datasets, it adds breadth to a space at a time when larger and more diverse datasets are needed to train data hungry machine learning methods. Over 5 million images from an unmanned surface vehicle capture the unstructured, natural environment as it evolved over time. Significant variation in appearance is present on time scales of weeks, seasons, and years. Success in this space may demonstrate advancements in perception, SLAM, and environment monitoring.

The complete raw surveys can be found on the following links:

Symphony Lake Dataset 2014

Symphony Lake Dataset 2015 

Symphony Lake Dataset 2016

Symphony Lake Dataset 2017

On top of the raw surveys, some pre-processed results are also available:

Symphony Lake Dataset Visual Benchmark

Symphony Lake Dataset image pair dataset

Symphony Lake Dataset 2D localisation and mapping

 

 

© 2019 – 2022 DREAM Lab – Georgia Tech Lorraine