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PDF The Cityscapes Dataset for Semantic Urban Scene Understanding

For semantic urban scene understanding however no current dataset adequately captures the complexity of real-world urban scenes To address this we introduce Cityscapes a benchmark suite and large-scale dataset to train and test approaches for pixel-level and instance-level semantic la-beling

PDF The Cityscapes Dataset

datasets such as CamVid [1] Leuven [13] and Daimler Urban Segmentation [21] Progress in computer vision in recent years has also been driven by datasets that pushed the boundaries in terms of scale Ex-amples include ImageNet [219] PASCAL VOC [4] and its exten-sions (e g PASCAL-Context [16]) Caltech Pedestrians [3] La-

  • What is the Mapillary Vistas Dataset?

    The Mapillary Vistas Dataset is a novel, large-scale street-level image dataset containing 25000 high-resolution images annotated into 66 object categories with additional, instance-specific labels for 37 classes, aiming to significantly further the development of state-of-the-art methods for visual road-scene understanding.

  • What is cityscapes?

    Cityscapes is comprised of a large, diverse set of stereo video sequences recorded in streets from 50 different cities. 5000 of these images have high quality pixel-level annotations; 20000 additional images have coarse annotations to enable methods that leverage large volumes of weakly-labeled data.

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