license: other
license_name: scannetpp-terms-of-use
license_link: https://kaldir.vc.in.tum.de/scannetpp/
tags:
- scannetpp
- 3d
- depth
viewer: false
ScanNet++ iPhone depth maps
The iPhone LiDAR depth maps of ScanNet++ from /data/ScanNetpp, preserving their source filenames and directory
layout, so a download can be laid over a ScanNet++ copy. Files are uploaded without modification.
| Path | Files | Bytes | What |
|---|---|---|---|
data/*/iphone/depth.bin |
968 | 608,124,587,157 | iPhone LiDAR depth |
Camera poses and intrinsics (iphone/pose_intrinsic_imu.json, iphone/colmap/) and the RGB video are not
included; they come with ScanNet++ itself.
Per-scene layout
data/<scene_id>/
iphone/depth.bin LiDAR depth stream of the iPhone video
iphone/depth.bin is decoded into per-frame depth images by the official toolkit
(iphone/prepare_iphone_data.py in https://github.com/scannetpp/scannetpp).
Inventory
968 files, 608,124,587,157 bytes over 968 scenes. files_manifest.jsonl records the relative path, byte count
and SHA-256 of every file.
Source and terms
Original dataset: ScanNet++ (C. Yeshwanth, Y.-C. Liu, M. Nießner, A. Dai, ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes, ICCV 2023). This copy retains the original ScanNet++ Terms of Use; access is limited to users who have accepted them.