rgbd
Datasets
All datasets matching “rgbd”ntu-rgbdSyn4D_RGBD
Dataset Card for Syn4D RGBD
Syn4D is a large-scale, fully-synthetic multiview dataset of dynamic scenes designed to advance research in 4D reconstruction, depth estimation, 3D point tracking, novel-view synthesis, and human pose estimation. It provides dense, complete, and accurate geometric annotations — including per-pixel depth maps, multi-view camera trajectories, dense long-range 3D point tracks, and parametric SMPL-X human body annotations — across a diverse collection of… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Syn4D_RGBD.TUM_RGBD-SLAMTUM_RGBD-SLAMOVIS_RGBD
OVIS_RGBD
The dataset is for paper "Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation".
You can find the usages in GitHub.
The original frame images and annotations are from OVIS. We use DepthAnythingV2 to perform monocular depth estimation on all images. We concatenate depth map on the channel demension and each image is in RGBD format.
Citations
@InProceedings{niu2025,
author = {Niu, Quanzhu and Zhou, Yikang and Chen, Shihao and… See the full description on the dataset page: https://huggingface.co/datasets/QuanzhuNiu/OVIS_RGBD.RGB-D-SegmentEgocentricBodiesannotations_creators:
- other
language:
- en
language_creators:
- other
license:
- odc-by
multilinguality:
- monolingual
pretty_name: 'RGB-D-SegmentEgocentricBodies '
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- egocentric segmentation
- extended reality
- xr
- human-body
- mixed-reality
- avatar
task_categories:
- image-segmentation
- depth-estimation
task_ids:
- semantic-segmentation
- features:
- name: image
dtype: image
- name: depth
dtype: image… See the full description on the dataset page: https://huggingface.co/datasets/ExtendedRealityLab/RGB-D-SegmentEgocentricBodies.