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.

Download Links

• Full Laser Data (~7.1 GB)
• Full Dowsampled Dataset (~24.6 GB)
• One Year Sample (~199.4 MB)
• Survey Parsing Code

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

• 2D Localization and Mapping
• Image pair dataset