Synthia

doi:doi:10.57702/tmkbypkg

Synthia

The Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.

BibTex:

@dataset{Yuxiang_Ji_and_Boyong_He_and_Chenyuan_Qu_and_Zhuoyue_Tan_and_Chuan_Qin_and_Liaoni_Wu_2024,
    abstract = {The Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.},
    author = {Yuxiang Ji and Boyong He and Chenyuan Qu and Zhuoyue Tan and Chuan Qin and Liaoni Wu},
    doi = {10.57702/tmkbypkg},
    institution = {No Organization},
    keyword = {'Scene Understanding', 'Semantic Scene Understanding', 'Semantic segmentation', 'Synthetic dataset', 'Synthia', 'Urban scenes', 'domain adaptation', 'dynamic scenes', 'image generation', 'image segmentation', 'image synthesis', 'image-to-image translation', 'panoptic segmentation', 'point cloud', 'semantic segmentation', 'synthetic data', 'synthia', 'urban road scene', 'urban scene', 'urban scene understanding'},
    month = {dec},
    publisher = {TIB},
    title = {Synthia},
    url = {https://service.tib.eu/ldmservice/dataset/synthia},
    year = {2024}
}