graviti logo产品公开数据集关于我们
登录
1094
0
84
KITTI-depth
创建来自Hello Dataset / Robert
概要
活动

Overview

The depth completion and depth prediction evaluation are related to our work published in Sparsity Invariant CNNs (THREEDV 2017). KITTI-depth contains over 93 thousand depth maps with corresponding raw LiDaR scans and RGB images. Given the large amount of training data, this dataset shall allow a training of complex deep learning models for the tasks of depth completion and single image depth prediction. Also, we provide manually selected images with unpublished depth maps to serve as a benchmark for those two challenging tasks.

Data Collection

We equipped a standard station wagon with two high-resolution color and grayscale video cameras. Accurate ground truth is provided by a Velodyne laser scanner and a GPS localization system. Our datsets are captured by driving around the mid-size city of Karlsruhe, in rural areas and on highways. Up to 15 cars and 30 pedestrians are visible per image.

img

Citation

Please use the following citation when referencing the dataset:

@INPROCEEDINGS{Uhrig2017THREEDV,
  author = {Jonas Uhrig and Nick Schneider and Lukas Schneider and Uwe Franke and Thomas Brox
and Andreas Geiger},
  title = {Sparsity Invariant CNNs},
  booktitle = {International Conference on 3D Vision (3DV)},
  year = {2017}
}

License

CC BY-NC-SA 3.0

数据集信息
应用场景Autonomous Driving
标注类型Depth
LicenseCC BY-NC-SA 3.0
更新时间2021-03-24 22:55:13
数据概要
数据格式Image
数据数量93k
文件大小20MB
标注数量0
版权归属方
Max Planck Institute for Intellgent Systems
标注方
未知
了解更多和支持
相关数据集
Synscapes
创建来自Gravitier
立即开始构建AI
免费开始联系我们