SWAN is a large-scale outdoor point cloud semantic segmentation, instance segmentation and object detection dataset.  The dataset is targeted explicitly at the challenging urban environment, which aligns well with the needs of the intelligent transportation systems. The data is collected in the Central Business District (CBD) of Perth city in Australia, covering nearly 150km. It additionally used specialized equipment (portable trolley) to capture scenes of no-through roads and narrow streets.

Dataset Files

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[1] Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Ajmal Mian, "SWAN 3D Point Cloud DATASET", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/cg01-8n53. Accessed: May. 22, 2024.
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doi = {10.21227/cg01-8n53},
url = {http://dx.doi.org/10.21227/cg01-8n53},
author = {Muhammad Ibrahim; Naveed Akhtar; Saeed Anwar; Ajmal Mian },
publisher = {IEEE Dataport},
title = {SWAN 3D Point Cloud DATASET},
year = {2023} }
TY - DATA
T1 - SWAN 3D Point Cloud DATASET
AU - Muhammad Ibrahim; Naveed Akhtar; Saeed Anwar; Ajmal Mian
PY - 2023
PB - IEEE Dataport
UR - 10.21227/cg01-8n53
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Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Ajmal Mian. (2023). SWAN 3D Point Cloud DATASET. IEEE Dataport. http://dx.doi.org/10.21227/cg01-8n53
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Ajmal Mian, 2023. SWAN 3D Point Cloud DATASET. Available at: http://dx.doi.org/10.21227/cg01-8n53.
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Ajmal Mian. (2023). "SWAN 3D Point Cloud DATASET." Web.
1. Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Ajmal Mian. SWAN 3D Point Cloud DATASET [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/cg01-8n53
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Ajmal Mian. "SWAN 3D Point Cloud DATASET." doi: 10.21227/cg01-8n53