datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BEDLAM-depth
Dataset Mirror of BEDLAM Dataset (Depth Data Subset)
Project site: https://bedlam.is.tuebingen.mpg.de/
Please register at project site for additional information and data (Download section)
Related Hugging Face dataset mirror: BEDLAM
Dataset Information
Depth maps (EXR, 32-bit, 3.8TB)
Camera ground truth information is not included but can be found in the BEDLAM dataset mirror
Image/video data with motion blur is not included but can be found in the BEDLAM dataset… See the full description on the dataset page: https://huggingface.co/datasets/Intelligent-Systems/BEDLAM-depth.BEDLAM2-depth
Dataset Mirror of BEDLAM2.0 Dataset (Depth Data Subset)
Project site: https://bedlam2.is.tuebingen.mpg.de/
Please register at project site for additional information and data in its Download section.
Related Hugging Face dataset mirror: BEDLAM2
Dataset Information
Depth maps (Multilayer EXR, 16-bit, available for 44% of images, 15TB)
Multilayer EXR details
16-bit float depth in red channel (FinalImageMovieRenderQueue_WorldDepth.R)
Color image without motion blur
Body… See the full description on the dataset page: https://huggingface.co/datasets/Intelligent-Systems/BEDLAM2-depth.3D_Visual_Illusion_Depth_Estimation
3D Visual Illusion Depth Estimation Dataset
Dataset Summary
The 3D Visual Illusion Depth Estimation Dataset is designed for research on stereo and monocular depth estimation in 3D visual illusion scenes.It contains left and right stereo images, depth maps estimated from DepthAnything V2, and illusion-region masks.
Dataset Structure
Each sample in the dataset includes:
left: Left-view RGB image
right: Right-view RGB image
depth: Monocularly estimated depth… See the full description on the dataset page: https://huggingface.co/datasets/AdamYao/3D_Visual_Illusion_Depth_Estimation.nyu-depthv2-wds
Dataset Card for nyu-depthv2-wds
This is the NYU DepthV2 dataset, converted into the webdataset format. https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/
There are 47584 samples in the training split, and 654 samples in the validation split.
I shuffled both the training samples, and the validation samples.
I also cropped 16 pixels from all sides of the image, and depth image. I did this because there is a white border around all images.
This is an example of the border… See the full description on the dataset page: https://huggingface.co/datasets/adams-story/nyu-depthv2-wds.hoi4d-depthdepthtrackkitti-depth-completion
KITTI Depth Completion
This repository contains a tar.zst archive of the kitti_depth_completion directory, split into 5 GiB parts.
Archive parts: 4
Total size: 21,374,819,904 bytes
Source file count: 193,568
Restore
cat kitti_depth_completion.tar.zst.part-* | tar --zstd -xf -
habitat_web_image_depth_RESCUEkitti-depth-gtcryo_data_prior_img_fix_depthMinecraft-Depth-Images
D4MCDataset
Dataset created to train the Depth4MC model.
Images and depth label are of size 480x854.
Read more information on the GitHub page: https://github.com/JulianBvW/Depth4MC
oro_depth_rewardnsd_depthdepth-maps-llava