Research Projects > Symphony Lake Dataset 2016

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

Survey Date
(YY-MM-DD)
Downsampled Dataset (5%)Full DatasetLaser DataYoutube Preview
160201160201 (255M)160201 (5.0G)160201 (64M)
160211160211 (214M)160211 (4.2G)160211 (54M)
160216160216 (220M)160216 (4.3G)160216 (55M)
160305160305 (217M)160305 (4.3G)160305 (58M)
160314160314 (218M)160314 (4.3G)160314 (55M)
160321160321 (190M)160321 (3.8G)160321 (59M)
160401160401 (160M)160401 (3.2G)160401 (49M)
160407160407 (189M)160407 (4.1G)160407 (58M)
160411160411 (191M)160411 (3.8G)160411 (50M)
160418160418 (192M)160418 (3.8G)160418 (50M)
160426160426 (200M)160426 (3.9G)160426 (55M)
160502160502 (191M)160502 (3.8G)160502 (47M)
160524160524 (192M)160524 (3.8G)160524 (49M)
160601160601 (173M)160601 (3.4G)160601 (52M)
160606160606 (191M)160606 (3.8G)160606 (51M)
160616160616 (187M)160616 (3.7G)160616 (52M)
160620160620 (175M)160620 (3.5G)160620 (53M)
160715160715 (189M)160715 (3.7G)160715 (53M)
160719160719 (229M)160719 (4.5G)160719 (60M)
160725160725 (186M)160725 (3.7G)160725 (67M)
160801160801 (194M)160801 (3.8G)160801 (52M)
160808160808 (195M)160808 (3.9G)160808 (55M)
160816160816 (186M)160816 (3.7G)160816 (53M)
160821160821 (158M)160821 (3.1G)160821 (52M)
160829160829 (160M)160829 (3.2G)160829 (51M)
160906160906 (146M)160906 (2.9G)160906 (47M)
160912160912 (185M)160912 (3.7G)160912 (49M)
160923160923 (182M)160923 (3.6G)160923 (50M)
160927160927 (176M)160927 (3.5G)160927 (51M)
161003161003 (172M)161003 (3.4G)161003 (50M)
161010161010 (156M)161010 (3.1G)161010 (47M)
161018161018 (169M)161018 (3.4G)161018 (47M)
161114161114 (205M)161114 (4.0G)161114 (54M)
161123161123 (220M)161123 (4.3G)161123 (51M)
161127161127 (209M)161127 (4.1G)161127 (52M)
161216161216 (223M)161216 (4.4G)161216 (58M)
161223161223 (257M)161223 (5.1G)161223 (57M)

References

Please cite the following paper if you use the dataset:
Relevant Papers:

© 2019 DREAM Lab – Georgia Institute of Technology Lorraine