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MD5: ac0989ac48e4c5bab53d1754470a2d35
General_Calculations_Installation_Dogger_Bank.csv |
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MD5: dffdd7f9c90b143f378ae463bac2fd91
General_Calculations_Installation_Hywind_Tampen.csv |
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MD5: 2c80bd3a490ec556f72b36a287315f90
General_Calculations_O_and_ M_ Dogger_Bank.csv |
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MD5: 0cc48795468de392373512724e307d6c
General_Calculations_O_and_ M_Hywind_Tampen.csv |
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MD5: 4887e31d9204bf36958ab68d157c237b
Inventory_Dogger_Bank_BFOWF.csv |
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MD5: 751754ad5d654b496b024bffcf120fea
Inventory_Hywind_Tampen_FOWF.csv |
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MD5: 6adc4fa4260c40b9e4f683b5ac070acb
ReadMe_file.txt |
May 10, 2024 - NTNU – Norwegian University of Science and Technology
Vats, Anuja, 2024, "Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations", https://doi.org/10.18710/HSMJLL, DataverseNO, V1
The dataset comprises the pretraining and testing data for our work: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations. The pretaining data consists of images corresponding to the Digital Surface Models (DSM) and Digital Terrain Models (DTM) obtained from Norway, with a groun... |
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MD5: a15f845237699a3d3ef78c8b95d1bbe9
Dataset Info |
ZIP Archive - 25.5 GB -
MD5: 0e670e5a13efc3e8235e0a954c83a693
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