datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.egocentric-iphone-rgb
Hub Egocentric: iPhone RGB
40 unique egocentric human-manipulation clips captured on iPhone, delivered as uniform re-encoded RGB video (H.264, 8-bit, Rec.709). Video only (no IMU, no depth).
Part of the Hub Egocentric Human Demonstrations Sample Set collection. Captured on iPhone 15, iPhone 15 Pro, iPhone 15 Pro Max, and iPhone 16 Pro Max. Egocentric, human-demonstration data (passive; no robot action stream). July 2026.
Dataset structure
One re-encoded H.264 MP4… See the full description on the dataset page: https://huggingface.co/datasets/Hubdata/egocentric-iphone-rgb.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.vlmn_iphonecf100_cotrain_magicsoup_no_insta_rdp
vlmn_iphonecf100_cotrain_magicsoup_no_insta_rdp
Description
VLN Navigation dataset with 100% of counterfactual iphone data, 10% of magicsoup no insta subsampled with RDP.
Processing Parameters
{}
Dataset Configuration
Train dataset:
mixer: mateoguaman/coda_every1_25pct_rdp: 0.1
mateoguaman/iphone_every1_100pct_rdp: 1.0
mateoguaman/scand_every1_50pct_rdp: 0.1
mateoguaman/spot_every1_100pct_rdp: 0.1
mateoguaman/tartandrive_every1_100pct_rdp: 0.1… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/vlmn_iphonecf100_cotrain_magicsoup_no_insta_rdp.DTTD2-IPhone
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
🤔 Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR? We provide a new dataset on a mobile device: 18 objects observed in 100 videos with 47,668 sampled frames and 114,143 object annotations.
🌹 If our work is useful or relevant to your research, please kindly recognize our contributions by citing our papers:… See the full description on the dataset page: https://huggingface.co/datasets/ZixunH/DTTD2-IPhone.coi-rl-data
COI RL Dataset
A reinforcement learning dataset for training vision-language models to use visual tools (zoom, contrast adjust, sharpen, etc.) when answering questions about images. The dataset is designed for RL-based post-training where models learn when and which visual manipulation tools to invoke before generating an answer.
Dataset Summary
Train samples: 8,853
Test samples: 9
Images: 8,400 (1.64 GB)
Question types: multiple-choice (2,072) and open-ended (6… See the full description on the dataset page: https://huggingface.co/datasets/iPhone38/coi-rl-data.iPhone-PTZThis dataset contains processed benchmarks for both iPhone and iPhone-PTZ.
CamDirector: Towards Long-Term Coherent Video Trajectory Editing
Zhihao Shi1*,
Kejia Yin2*,
Weilin Wan3,
Yuhongze Zhou4,
Yuanhao Yu1,
Xinxin Zuo5,
Qiang Sun2,6,
Juwei Lu2
McMaster, UofT, HKU, McGill, Concordia, MBZUAI
* Equal contribution
CVPR 2026
Dataset Structure
After unzip the zip files you will get two folders below:
./evaluation_benchmarks
├── iPhone/
│ ├── apple
| ├──… See the full description on the dataset page: https://huggingface.co/datasets/yinkejia/iPhone-PTZ.block_in_cup_at_home_no_iphoneThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 50,
"total_frames": 16867,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 35,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/jccj/block_in_cup_at_home_no_iphone.iphone_stairs_ramps
iphone_stairs_ramps
Description
Processed entire iphone_stairs_ramps with filter_every_nth=1, 100% of data, and num_subsampled_points=5
Processing Parameters
mateoguaman/iphone_chin:
exclude_outliers_pct: 0
filter_by_curvature: false
filter_every_nth: 1
horizon:
1000: 1.0
num_subsampled_points: 5
mateoguaman/iphone_hip:
exclude_outliers_pct: 0
filter_by_curvature: false
filter_every_nth: 1
horizon:1000: 1.0
num_subsampled_points: 5… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/iphone_stairs_ramps.iphonedataset-shapeofmotionvlmn_iphone100_tartandrive100_scand50_coda25_spot100_insta360100_sub5
vlmn_iphone100_tartandrive100_scand50_coda25_spot100_insta360100_sub5
Description
VLN Navigation dataset with 100% of iphone data, 100% of tartandrive data, 50% of scand data, 25% of coda data, 100% of in-domain spot data, and 100% of insta360 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_iphone100_tartandrive100_scand50_coda25_spot100_insta360100_sub5.iphone5_vlm_imgiphone5_vlm_img_livesessioniphone5_vlm_imgvlmn_iphonecf100_tartandrive100_scand50_coda25_spot100_rdp
vlmn_iphonecf100_tartandrive100_scand50_coda25_spot100_rdp
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_rdp: 1.0… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/vlmn_iphonecf100_tartandrive100_scand50_coda25_spot100_rdp.iphone2dslr_flowerThis dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
Citation
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros},
title = {Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
Networks},
journal = {CoRR},
volume = {abs/1703.10593},
year… See the full description on the dataset page: https://huggingface.co/datasets/huggan/iphone2dslr_flower.iphone5_vlm_livesessionradiology_audio_3_iphone_laptop_666_samplesiPhone14TweetsApprox 144K tweets about iPhone 14
iphone_screenshotiphonesiphone17pro-silver-synthetic-360
⚠️ PREMIUM DATASET ENTRY PORTAL
This is a premium, high-fidelity synthetic machine learning dataset. Access to download the raw high-resolution images, full 4x4 camera matrices, and source CAD meshes is restricted to licensed users.
🛒 How to Purchase Commercial Access:
To instantly unlock download access to this repository or to grab the standalone uncompressed offline .zip package, buy a commercial license asset seat here:
👉… See the full description on the dataset page: https://huggingface.co/datasets/aliartist3d/iphone17pro-silver-synthetic-360.amazon-iphone8plus-review
Dataset Description
Source
This dataset is derived from the Amazon Reviews 2023 dataset released by the McAuley Lab.
Subset
The dataset contains Amazon Electronics reviews for the iPhone 8 Plus, identified by the parent ASIN B089SRK8VQ within the Amazon product family.
Size
Number of records: 4,085 reviews
Ratings
The dataset includes reviews with the following star ratings:
1, 2, 3, 4, and 5 stars
Task
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/manmanluo/amazon-iphone8plus-review.iphone16-datasetiphone5_vlm_img