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TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation ...

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  • معلومة اضافية
    • بيانات النشر:
      Institute of Electrical and Electronics Engineers (IEEE)
    • الموضوع:
      2025
    • Collection:
      DataCite Metadata Store (German National Library of Science and Technology)
    • نبذة مختصرة :
      Traffic flow analysis is revolutionising traffic management. By leveraging traffic flow data, traffic control bureaus could provide drivers with real-time alerts, advising the fastest routes and therefore optimising transportation logistics and reducing congestion. The existing traffic flow datasets have two major limitations. They feature a limited number of classes, usually limited to one type of vehicle, and the scarcity of unlabelled data. In this paper, we introduce a new benchmark traffic flow image dataset called TrafficCAM. Our dataset distinguishes itself by two major highlights. Firstly, TrafficCAM provides both pixel-level and instance-level semantic labelling along with a large range of types of vehicles and pedestrians. It is composed of a large and diverse set of video sequences recorded in streets from eight Indian cities with stationary cameras. Secondly, TrafficCAM aims to establish a new benchmark for developing fully-supervised tasks, and importantly, semi-supervised learning techniques. ...
    • الرقم المعرف:
      10.17863/cam.114297
    • الدخول الالكتروني :
      https://dx.doi.org/10.17863/cam.114297
      https://www.repository.cam.ac.uk/handle/1810/377488
    • Rights:
      open.access ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode ; cc-by-4.0 ; http://purl.org/coar/access_right/c_abf2
    • الرقم المعرف:
      edsbas.667D383