iphone
Datasets
All datasets matching “iphone”iPhone360-4dgs360
iPhone360 Dataset - 4dgs360 preprocessed version
iPhone360 is a benchmark dataset for 360° reconstruction of dynamic objects from monocular video, introduced in the paper:
4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video
Jae Won Jang, Yeonjin Chang, Wonsik Shin, Juhwan Cho, Nojun Kwak
Project Page · arXiv
Dataset Description
iPhone360 features real-world dynamic scenes captured with an iPhone, where test cameras are positioned at… See the full description on the dataset page: https://huggingface.co/datasets/mipal/iPhone360-4dgs360.iPhone360
iPhone360 Dataset (Simple Version)
iPhone360 is a benchmark dataset for 360° reconstruction of dynamic objects from monocular video, introduced in the paper:
4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video
Jae Won Jang, Yeonjin Chang, Wonsik Shin, Juhwan Cho, Nojun Kwak
Project Page · arXiv
Dataset Description
iPhone360 features real-world dynamic scenes captured with an iPhone, where test cameras are positioned at significantly… See the full description on the dataset page: https://huggingface.co/datasets/mipal/iPhone360.iphonedataset-shapeofmotioniphone_stereo
iPhone stereo captures
Complete paired iPhone camera exports and offline stereo calibration results.
The capture and processing code is in
JizhuoChen/stereo_iphone.
Each captures/ subfolder is one fixed two-phone mount. Its data/ directory
contains a 25-photo ChArUco calibration pair and three subsequent recording
pairs. Camera A is the iPhone 17 Pro; Camera B is the iPhone 17 Pro Max. The
complete phone exports include RGB frames, LiDAR depth and confidence maps,
ARKit poses… See the full description on the dataset page: https://huggingface.co/datasets/jizhuochen/iphone_stereo.vlmn_iphonecf100_tartandrive100_scand50_coda25_spot100_sub5
vlmn_iphonecf100_tartandrive100_scand50_coda25_spot100_sub5
Description
VLN Navigation dataset with 100% of counterfactual iphone data, 100% of tartandrive data, 50% of scand data, 25% of coda data, and 100% of in-domain spot data. Whenever daatsets aren't 100%, they are ranked by curvature and output of length 5.
Processing Parameters
{}
Dataset Configuration
Train dataset:
mixer: mateoguaman/coda_every1_25pct_sub5: 1.0… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/vlmn_iphonecf100_tartandrive100_scand50_coda25_spot100_sub5.egostation-iphone-lidar-household-v1
Zen-O Household Manipulation, iPhone LiDAR
8 first-person recordings of ordinary household work, with both hands
tracked in three dimensions and in real metres, laid out in LeRobot v2.1.
Episodes
8
Frames
128,833 at 30 fps, about 71.6 minutes
Video
observation.images.head, 1920x1440
State
7 floats, camera position and orientation
Action
20 floats, both wrists and both grippers
Coordinate frame
ROS REP 103, X forward, Y left, Z up, metric… See the full description on the dataset page: https://huggingface.co/datasets/zeno-labs/egostation-iphone-lidar-household-v1.