Datasets:
metadata
license: bsd-3-clause
task_categories:
- depth-estimation
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: image.png
dtype: image
- name: depth_1.png
dtype: image
- name: depth_2.png
dtype: image
- name: depth_3.png
dtype: image
- name: depth_4.png
dtype: image
- name: depth_5.png
dtype: image
- name: depth_6.png
dtype: image
- name: depth_7.png
dtype: image
- name: depth_8.png
dtype: image
- name: __key__
dtype: string
splits:
- name: train
num_bytes: 27507736943
num_examples: 14800
- name: validation
num_bytes: 914329597
num_examples: 500
download_size: 24747583982
dataset_size: 28422066540
LayeredDepth-Syn is a synthetic dataset for Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation . If this dataset was helpful for your research, please cite
@misc{wen2025seeingseeingglassreal,
title={Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation},
author={Hongyu Wen and Yiming Zuo and Venkat Subramanian and Patrick Chen and Jia Deng},
year={2025},
eprint={2503.11633},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2503.11633},
}