12 datasets found

Formats: JSON Tags: Depth estimation

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  • HCI Dataset

    A dataset and evaluation methodology for depth estimation on 4D light fields.
  • MUAD: Multiple Uncertainties for Autonomous Driving

    MUAD: A synthetic dataset for autonomous driving with multiple uncertainties and annotations for semantic segmentation, depth estimation, object detection, and instance...
  • UrbanSyn

    The dataset used in the paper is a synthetic dataset for unsupervised depth estimation, which includes vKitti2, SHIFT, and UrbanSyn datasets.
  • SHIFT

    The dataset used in the paper is a synthetic dataset for unsupervised depth estimation, which includes vKitti2, SHIFT, and UrbanSyn datasets.
  • vKitti2

    The dataset used in the paper is a synthetic dataset for unsupervised depth estimation, which includes vKitti2, SHIFT, and UrbanSyn datasets.
  • MixSyn

    The dataset used in the paper is a synthetic dataset for unsupervised depth estimation, which includes vKitti2, SHIFT, and UrbanSyn datasets.
  • KITTI 2012

    KITTI 2012 is a real-world dataset in the outdoor scenario, and contains 194 training and 195 testing stereo image pairs with the size of 376 × 1240.
  • NYUDv2

    The NYUDv2 dataset contains 1,449 labeled indoor-scene RGB images with both parsing annotations and Kinect depths.
  • Cityscapes

    The Cityscapes dataset is a large and famous city street scene semantic segmentation dataset. 19 classes of which 30 classes of this dataset are considered for training and...
  • KITTI dataset

    The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...
  • KITTI 2015

    The KITTI 2015 dataset is a real-world dataset of street views, containing 200 training stereo image pairs with sparsely labeled disparity from LiDAR data.
  • Scene Flow

    Stereo matching aims to recover the dense reconstruction of unknown scenes by computing the disparity from rectified stereo images, helping robots intelligently interact with...
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