iphone
Datasets
All datasets matching “iphone”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.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.vlmn_iphonecf100_cotrain_magicsoup_no_insta_sub5
vlmn_iphonecf100_cotrain_magicsoup_no_insta_sub5
Description
VLN Navigation dataset with 100% of counterfactual iphone data, 10% of magicsoup no insta subsampled to 5 points.
Processing Parameters
{}
Dataset Configuration
Train dataset:
mixer: mateoguaman/coda_every1_25pct_sub5: 0.1
mateoguaman/iphone_every1_sub5: 1.0
mateoguaman/scand_every1_50pct_sub5: 0.1
mateoguaman/spot_every1_sub5: 0.1
mateoguaman/tartandrive_every1_100pct_sub5: 0.1… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/vlmn_iphonecf100_cotrain_magicsoup_no_insta_sub5.egocentric-iphone-rgb-imu
Hub Egocentric: iPhone RGB+IMU
12 egocentric human-manipulation clips captured on iPhone, with nominal 30 Hz CoreMotion + ARKit IMU/attitude on the shared media timeline, delivered as CSV/Parquet/JSON sidecars plus a Foxglove MCAP recording and per-clip camera intrinsics.
Across this 12-clip sample, IMU row count is 0–4 boundary rows lower than decoded video frame count (≤0.035%).
Part of the Hub Egocentric Human Demonstrations Sample Set collection. Captured on iPhone 13… See the full description on the dataset page: https://huggingface.co/datasets/Hubdata/egocentric-iphone-rgb-imu.iPhone-Wallpapersvlmn_iphone100_tartandrive100_scand50_coda25_spot100_sub5
vlmn_iphone100_tartandrive100_scand50_coda25_spot100_sub5
Description
VLN Navigation dataset with 100% of 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
mateoguaman/iphone_stairs_ramps: 1.0… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/vlmn_iphone100_tartandrive100_scand50_coda25_spot100_sub5.