Symphony Lake Dataset (2017)

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.

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

Download per Survey:
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Survey Date
(YY-MM-DD)
Downsampled Dataset (5%) Full Dataset Laser Data Youtube Preview
170217 170217 (245M) 170217 (4.8G) 170217 (63M)
170223 170223 (208M) 170223 (4.1G) 170223 (52M)
170303 170303 (195M) 170303 (3.9G) 170303 (55M)
170307 170307 (201M) 170307 (4.0G) 170307 (52M)
170313 170313 (191M) 170313 (3.8G) 170313 (56M)
170320 170320 (195M) 170320 (3.9G) 170320 (50M)
170327 170327 (207M) 170327 (4.1G) 170327 (55M)
170403 170403 (179M) 170403 (3.5G) 170403 (47M)

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References

Please cite the following paper if you use the dataset:

  • Griffith, Shane; Chahine, Georges; Pradalier, Cédric; Symphony Lake DatasetSubmitted to IJRR, 2017.

Relevant Papers: