Datasets:
Dataset Viewer (First 5GB)
Search is not available for this dataset
image
imagewidth (px) 1.6k
1.6k
| label
class label 2
classes |
---|---|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
|
0depth
|
End of preview. Expand
in Data Studio
StereoFromCarla
Introduction
Welcome to the StereoFromCarla Open Dataset! This dataset is designed to support research and development in the field of Stereo Depth Estimation. The dataset is composed of data collected from CARLA simulator.
The subset of finished Stereo Dataset, Normal Town01, is uploaded here. The whole dataset is uploaded through bypy.
Data List
StereoFromCarla
Normal Town01
StereoFromCarla
Completed(链接:https://pan.baidu.com/s/1SrVQ1nFkVNusfX-fP2yfLg?pwd=d014 提取码:d014 --来自百度网盘超级会员V3的分享)
Citation
If you find this project useful in your research, please consider citing:
@misc{guo2024stereoanythingunifyingstereo,
title={Stereo Anything: Unifying Stereo Matching with Large-Scale Mixed Data},
author={Xianda Guo and Chenming Zhang and Youmin Zhang and Dujun Nie and Ruilin Wang and Wenzhao Zheng and Matteo Poggi and Long Chen},
year={2024},
eprint={2411.14053},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2411.14053},
}
- Downloads last month
- 126