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UQTR Dataset - Snowy and non-snowy road images

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/uqtr-dataset-snowy-and-non-snowy-road-images
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资源简介:
 The UQTR dataset consists of 7838 real and synthetic images of the Université du Québec à Trois-Rivières (UQTR) campus road under normal and snow conditions. The image resolution is 1280×720. It includes lane labels in .txt files, where each row stores the set of points of a lane. The points are stored as x1 y1 x2 y2, as in the tutorial by Ruijin Liu, Zejian Yuan, Tie Liu, Zhiliang Xiong: Train and Test Your Custom Data.Synthetic data were generated using different image synthesis techniques from real road data to improve lane detection in snowy winter conditions. Simulation data, corresponding to a virtual environment of the UQTR campus, are also included.The dataset includes:967 real road images6655 images with synthetic snow216 images of the virtual environmentReferences to 3D models of the virtual environment:Feel funny, “Shelter a00,” 2010, accessed July 2023. [Online]. Available: https://www.turbosquid.com/3d-models/free-max-model-bus-shelter/520824 NinjRosa, Stop, 2022, accessed July 2023. [Online]. Available: https://www.turbosquid.com/3d-models/stop-1958611 Adobe Systems Incorporated, Mixamo Bryce character, 2015, accessed July 2023. [Online]. Available: https://www.mixamo.com/#/?page=2&type=Character  
提供机构:
Alam, Muhammad Zeshan; Gutierrez-Vela, Francisco; Kelouwani, Sousso; Ortegon-Sarmiento, Tatiana; Amamou, Ali; Paderewski-Rodriguez, Patricia; Boisclair, Jonathan; Uribe-Quevedo, Alvaro
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