WoodScape

doi:doi:10.57702/csum2b61

WoodScape

The WoodScape dataset consists of 10,000 annotated images captured from four different view angles: Front View (FV), Mirror-View Right (MVR), Mirror-View Left (MVL), and Rear View (RV) of a vehicle. The dataset provides the semantic annotations for ten classes, including road, lane markings, curb, person, rider, car, bicycle, motorcycle, traffic sign, and background.

BibTex:

@dataset{Michal_Uˇriˇc´aˇr_and_Ganesh_Sistu_and_Hazem_Rashed_and_Anton´ın_Vobeck´y_and_Varun_Ravi_Kumar_and_Pavel_Kˇr´ıˇzek_and_Fabian_B¨urger_and_Senthil_Yogamani_2024,
    abstract = {The WoodScape dataset consists of 10,000 annotated images captured from four different view angles: Front View (FV), Mirror-View Right (MVR), Mirror-View Left (MVL), and Rear View (RV) of a vehicle. The dataset provides the semantic annotations for ten classes, including road, lane markings, curb, person, rider, car, bicycle, motorcycle, traffic sign, and background.},
    author = {Michal Uˇriˇc´aˇr and Ganesh Sistu and Hazem Rashed and Anton´ın Vobeck´y and Varun Ravi Kumar and Pavel Kˇr´ıˇzek and Fabian B¨urger and Senthil Yogamani},
    doi = {10.57702/csum2b61},
    institution = {No Organization},
    keyword = {'WoodScape dataset', 'autonomous driving', 'autonomous vehicles', 'fish-eye camera', 'fisheye', 'fisheye cameras', 'fisheye images', 'multi-task learning', 'object detection', 'semantic segmentation'},
    month = {dec},
    publisher = {TIB},
    title = {WoodScape},
    url = {https://service.tib.eu/ldmservice/dataset/woodscape},
    year = {2024}
}