The first large-scale "ImageNet"-style dataset for 3D understanding.
- Dataset page: https://raw3d.xyz/dataset
- Purpose: A comprehensive 3D dataset for research and applications in computer vision, robotics, AR/VR, and scene understanding.
- Topics: It supports the training of Monocular Depth (e.g., DepthAnythingV2), Stereo Matching (e.g., FoundationStereo), Feed-Forward (e.g., VGGT, Pi3), MVS, SLAM and so on.
Still uploading, 30/100 scenes are done (listed in scenes.txt), near 400K samples, eventually will be over 1M multiview samples!
- Baidu Yunpan: https://pan.baidu.com/s/1DzJvQu6dEhi7svqE1S-18Q?pwd=rock
- Google Drive: please contact us if anyone can help, super slow transfering speed.
- Hugging Face: due to the single file size (max 5G) limited by huggingface, we will not submit our data to huggingface.
Features may include (see reader.py):
- loading 3D depth, normal, trajectory, and multi-view images
- future feature: reading object labels, bounding boxes, and semantic annotations
- supporting common dataset splits and evaluation protocols
- benchmark your SLAM, 3D reconstruction and other 3D related tasks.
Data Structure Example:
Rawmantic
└── LivingSpace
└── StreetBlock
└── LivingSpace_StreetBlock_00000000_ICPark
└── 00000000_ICPark_02
└── data
├── depth_camera_left: left camera, reference view
├── depth_camera_right: right camera, a stereo view
├── depth_camera_third: third camera, a random view, i.e., multi-view
├── normal_camera_left: surface normal in camera view
├── normal_camera_right
├── normal_camera_third
├── pose_camera_left: given intrinsics and extrinsics
├── pose_camera_right
├── pose_camera_third
├── rgb_camera_left
├── rgb_camera_right
└── rgb_camera_third
| Release | Description | Status |
|---|---|---|
| v1.0 | Initial public release with demo dataset and annotations | 2026.06 |
| v1.1 | Expanded scenes | 2026.07 |
| v2.0 | Full dataset scale release, benchmark split, and evaluation toolkit | Planned |
If you use this dataset in your research, please cite it as:
@article{rawmantic2026data,
title={Rawmantic 3D Training Field: From The Real World, For The Real World},
author={Rawmantic Team},
journal={Rawmantic},
year={2026}
}Refer to our website: https://raw3d.xyz/dataset
If you want to contribute, report issues, or ask questions, please open an issue in this repository or reach out through the project's official channels.
