9 datasets found

Groups: Object Detection Organizations: No Organization

Filter Results

  • KITTI-C

    The KITTI-C dataset is a robustness benchmark for outdoor monocular depth estimation under data corruptions.

  • Depth Estimation and Object Detection

    The dataset used for depth estimation and object detection.

  • RealNet

    RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoT

  • 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.

  • NYUv2

    Multi-task learning (MTL) research is broadly divided into two categories: one is to learn the correlation between tasks through model structures, and the other is to balance...

  • SUN RGB-D

    RGB-D scene recognition approaches often train two standalone backbones for RGB and depth modalities with the same Places or ImageNet pre-training. However, the pre-trained...

  • 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.