Get started
logo-mobile
Get started

Egocentric Video Data Collection for AI Training

Image

Custom egocentric data collection for AI training. Multi-camera wearable rigs (Pico 4 Ultra, ZED, Motion Trackers) and trained capture teams deliver synchronized first-person video and 3D pose data, built around your model and scenarios.

Explore sample data View sample data
Leading Data ProvidersAhead of Robotics Trends
Scalable CollectionCustom Data Collection
100%Consented participants

Egocentric Video In Numbers

15 000
Scenarios Collected
Image
4 000
Hours of Recordings
Image
03
device types
Image
02
Unique Setups
Image
06
synchronized devices
Image

Egocentric Video Dataset

4,050 hours of first-person video capturing daily activities in real environments.

Image

Highlights:

  • 4,050 hours across 13 household scenarios
  • Pico 4 Ultra + ZED + motion trackers with synchronized IMU
  • Quaternion-based 3D pose for egocentric tracking
  • Real homes: kitchens, bathrooms, living rooms
Download Sample
Image

How We Capture

Stereo video, 3D depth, and full-body pose — six streams, all synchronized in real time.
01 Head-Mounted

Pico 4 Ultra

High-resolution stereo passthrough with hand tracking. Captures the wearer's true field of view at 30FPS, with depth and 6DoF pose data on every frame.
  • Stereo passthrough
  • Hand tracking
  • 6dof pose
  • Depth maps
Image
02 Body tracking

Motion Trackers

IMU trackers mounted on wrists, ankles, and pelvis. Together with the headset they reconstruct a full-body skeleton — every joint position captured in real time.
  • Full-body skeleton
  • 5 trackers
  • Real-time pose
  • Joint positions
Image
03 Depth / RGB

ZED Stereo Camera

Stereo and single-lens cameras capturing depth, 3D scene detail, and hand-level views in real time.

In our ZPT setup:

ZED X Mini ZED X One ×3
  • Object tracking
  • Time-synced
  • 6dof pose
  • Depth maps
Image

Inside Our Capture Setup

Setup 1

Pico 4 Ultra + Motion Trackers + ZED

Setup 1
Setup 2

Pico 4 Ultra + Motion Trackers

Setup 2

How The Data Looks

Every scenario ships as a synchronized multi-modal package — RGB streams, depth maps, skeleton poses, and structured annotations. Open in Rerun or export to your own pipeline.

Example of the Video 
{"notice":"This is the timestamp and head pose information when obtaining the image for the first frame.","timeStampNs":1777014188181698048,"cameraExtrinsics":"[-9.628797603298362E-5, -0.9999956870558201, 0.002935404296600524, -0.020576731121003326, -0.9999901031255084, 8.323003728472929E-5, -0.004448227039627642, 0.08285444730230307, 0.004447963540863667, -0.0029358035560512006, -0.9999857982380652, -0.016863868701343578, 0.0, 0.0, 0.0, 1.0]|[-9.628797603294295E-5, -0.9999956870558203, 0.0029354042966005297, -0.020582891123388035, -0.9999901031255085, 8.323003728477016E-5, -0.004448227039627643, 0.01888029732300786, 0.004447963540863666, -0.0029358035560511976, -0.9999857982380651, -0.016579311198448035, 0.0, 0.0, 0.0, 1.0]","cameraIntrinsics":"[1079.5, 404.5, 1373.6681390725917, 686.8680648828482]"} {"predictTime":7908058693.649,"appState":{"focus":true},"Head":{"pose":"-0,464675754,-0,009551058,-0,265162617,0,0941019058,0,139043361,-0,132995471,-0,9767927","status":3},"Hand":{"leftHand":{"isActive":0,"count":26,"scale":1.0,"HandJointLocations":[{"p":"-0,677014947,-0,781982,-0,2770974,-0,226029158,0,431706667,0,174964011,0,855527759","s":0.0,"r":0.0},{"p":"-0,644156754,-0,752138436,-0,2479116,-0,266103357,0,4542693,0,182568252,0,8303597","s":0.0,"r":0.0},{"p":"-0,636194944,-0,7749218,-0,2779529,-0,239864,-0,0243861768,-0,159657434,0,9572774","s":0.0,"r":0.0},{"p":"-0,637043655,-0,7882551,-0,3031878,-0,239864,-0,0243861768,-0,159657434,0,9572774","s":0.0,"r":0.0},{"p":"-0,6378986,-0,801453769,-0,328169584,-0,239864,-0,0243861768,-0,159657434,0,9572774","s":0.0,"r":0.0},{"p":"-0,638758361,-0,8149204,-0,3536562,-0,239864,-0,0243861768,-0,159657434,0,9572774","s":0.0,"r":0.0},{"p":"-0,6466119,-0,7666241,-0,2729169,-0,239821434,0,3798042,0,218564168,0,8662934","s":0.0,"r":0.0},{"p":"-0,68359,-0,7981545,-0,3108994,-0,239821434,0,3798042,0,218564168,0,8662934","s":0.0,"r":0.0},{"p":"-0,7049614,-0,8206213,-0,333943129,-0,239821434,0,3798042,0,218564168,0,8662934","s":0.0,"r":0.0},{"p":"-0,716659665,-0,832917035,-0,3465491,-0,239821434,0,3798042,0,218564168,0,8662934","s":0.0,"r":0.0},{"p":"-0,728434563,-0,845296144,-0,3592432,-0,239821434,0,3798042,0,218564168,0,8662934","s":0.0,"r":0.0},{"p":"-0,6570702,-0,7657194,-0,261223733,-0,226029158,0,431706667,0,174964011,0,855527759","s":0.0,"r":0.0},{"p":"-0,6969596,-0,798244536,-0,292971075,-0,226029158,0,431706667,0,174964011,0,855527759","s":0.0,"r":0.0},{"p":"-0,727193534,-0,8229049,-0,317047477,-0,226029158,0,431706667,0,174964011,0,855527759","s":0.0,"r":0.0},{"p":"-0,7435659,-0,8362495,-0,330079377,-0,226029158,0,431706667,0,174964011,0,855527759","s":0.0,"r":0.0},{"p":"-0,760209143,-0,8498181,-0,3433284,-0,226029158,0,431706667,0,174964011,0,855527759","s":0.0,"r":0.0},{"p":"-0,663726,-0,766200244,-0,250189751,-0,245906875,0,4801415,0,1613511,0,8264138","s":0.0,"r":0.0},{"p":"-0,70385927,-0,7977452,-0,27366972,-0,245906875,0,4801415,0,1613511,0,8264138","s":0.0,"r":0.0},{"p":"-0,734741747,-0,8220134,-0,29174614,-0,245906875,0,4801415,0,1613511,0,8264138","s":0.0,"r":0.0},{"p":"-0,7495272,-0,833637953,-0,300399661,-0,245906875,0,4801415,0,1613511,0,8264138","s":0.0,"r":0.0},{"p":"-0,764785,-0,845634639,-0,309333473,-0,245906875,0,4801415,0,1613511,0,8264138","s":0.0,"r":0.0},{"p":"-0,6670108,-0,767561853,-0,237370327,-0,280000865,0,519941866,0,16042766,0,790900052","s":0.0,"r":0.0},{"p":"-0,7082014,-0,801508963,-0,2543954,-0,280000865,0,519941866,0,16042766,0,790900052","s":0.0,"r":0.0},{"p":"-0,7280346,-0,8180141,-0,262578934,-0,280000865,0,519941866,0,16042766,0,790900052","s":0.0,"r":0.0},{"p":"-0,7404368,-0,828337848,-0,26770404,-0,280000865,0,519941866,0,16042766,0,790900052","s":0.0,"r":0.0},{"p":"-0,7547514,-0,8402533,-0,273618728,-0,280000865,0,519941866,0,16042766,0,790900052","s":0.0,"r":0.0}]},"rightHand":{"isActive":0,"count":26,"scale":1.0,"HandJointLocations":[{"p":"-0,001072351,0,0424919054,-0,20880568,0,5123912,-0,3878978,0,154487118,0,75041604","s":0.0,"r":0.0},{"p":"-0,0233957358,-0,00441525877,-0,196737319,0,4871519,-0,4206984,0,121821836,0,7555497","s":0.0,"r":0.0},{"p":"-0,0211051945,0,0135224871,-0,230936721,0,2693405,-0,256566733,0,650843263,0,661840141","s":0.0,"r":0.0},{"p":"-0,0214237124,0,0333124921,-0,25167194,0,2693405,-0,256566733,0,650843263,0,661840141","s":0.0,"r":0.0},{"p":"-0,02173474,0,05291438,-0,272189468,0,2693405,-0,256566733,0,650843263,0,661840141","s":0.0,"r":0.0},{"p":"-0,0220553167,0,0729036555,-0,293130159,0,2693405,-0,256566733,0,650843263,0,661840141","s":0.0,"r":0.0},{"p":"-0,0221137125,0,0164674148,-0,216985792,0,481318355,-0,341225863,0,155292049,0,7923269","s":0.0,"r":0.0},{"p":"-0,00105219218,0,07266762,-0,232218191,0,481318355,-0,341225863,0,155292049,0,7923269","s":0.0,"r":0.0},{"p":"0,0141215054,0,106359392,-0,244001582,0,481318355,-0,341225863,0,155292049,0,7923269","s":0.0,"r":0.0},{"p":"0,0224290341,0,124795929,-0,250446141,0,481318355,-0,341225863,0,155292049,0,7923269","s":0.0,"r":0.0},{"p":"0,0307907835,0,143357426,-0,256937653,0,481318355,-0,341225863,0,155292049,0,7923269","s":0.0,"r":0.0},{"p":"-0,0139409825,0,01551152,-0,203526378,0,5123912,-0,3878978,0,154487118,0,75041604","s":0.0,"r":0.0},{"p":"0,0117962863,0,06947229,-0,214084983,0,5123912,-0,3878978,0,154487118,0,75041604","s":0.0,"r":0.0},{"p":"0,0313040465,0,110381976,-0,222099856,0,5123912,-0,3878978,0,154487118,0,75041604","s":0.0,"r":0.0},{"p":"0,0418628119,0,1325303,-0,226431414,0,5123912,-0,3878978,0,154487118,0,75041604","s":0.0,"r":0.0},{"p":"0,0525983535,0,155046418,-0,230837315,0,5123912,-0,3878978,0,154487118,0,75041604","s":0.0,"r":0.0},{"p":"-0,00621421868,0,01247808,-0,193592608,0,512226045,-0,436183333,0,122723594,0,729594052","s":0.0,"r":0.0},{"p":"0,0226010717,0,0606757626,-0,198933274,0,512226045,-0,436183333,0,122723594,0,729594052","s":0.0,"r":0.0},{"p":"0,0447657853,0,0977693,-0,203044474,0,512226045,-0,436183333,0,122723594,0,729594052","s":0.0,"r":0.0},{"p":"0,0553826168,0,11552836,-0,20501554,0,512226045,-0,436183333,0,122723594,0,729594052","s":0.0,"r":0.0},{"p":"0,06633756,0,133857578,-0,207052171,0,512226045,-0,436183333,0,122723594,0,729594052","s":0.0,"r":0.0},{"p":"0,00192091765,0,005894549,-0,18529515,0,495407254,-0,4804413,0,08203559,0,7190397","s":0.0,"r":0.0},{"p":"0,0360476971,0,0505339354,-0,187796563,0,495407254,-0,4804413,0,08203559,0,7190397","s":0.0,"r":0.0},{"p":"0,0526179671,0,07203437,-0,18908304,0,495407254,-0,4804413,0,08203559,0,7190397","s":0.0,"r":0.0},{"p":"0,06297844,0,08548487,-0,189893246,0,495407254,-0,4804413,0,08203559,0,7190397","s":0.0,"r":0.0},{"p":"0,07493658,0,101008892,-0,190827861,0,495407254,-0,4804413,0,08203559,0,7190397","s":0.0,"r":0.0}]}},"Body":{"joints":[{"p":"-0,230078831,-0,5964619,-0,008513379,-0,0009692311,-0,120348811,0,169756159,0,9781094","t":0,"va":"0,0,0,785116,3,53584812504261E+21,-277580,4375","wva":"1617877,3,53588415383963E+21,3,53589766463852E+21,0,0,0"},{"p":"-0,2622736,-0,6976354,-0,000619489932,0,09337219,-0,0284170359,-0,034982264,0,994610667","t":0,"va":"0,0,0,-785116,3,53584812504261E+21,138790,21875","wva":"-646331,8125,3,53588415383963E+21,3,53589766463852E+21,0,0,0"},{"p":"-0,148418278,-0,664137244,0,0241974778,0,0574027374,-0,14556177,0,175082237,0,9720406","t":0,"va":"0,0,0,-785116,3,53584812504261E+21,-832741,25","wva":"-1062708,375,3,53588415383963E+21,3,53589766463852E+21,0,0,0"},{"p":"-0,281950265,-0,48513478,0,0205160137,-0,128162831,-0,101475857,0,232106119,0,9588554","t":0,"va":"69114944,0,999816954135895,0,990742981433868,-69114928,0,999816954135895,0,990742981433868","wva":"-69114928,0,999816954135895,0,990742981433868,-69114920,0,999816954135895,0,990742981433868"},{"p":"-0,326167583,-1,07751811,-0,084759824,-0,0512476563,0,0255501717,-0,0292167123,0,9979315","t":0,"va":"0,0,0,785116,3,53584812504261E+21,-1,96856597084749E-30","wva":"785124,3,53588415383963E+21,3,53589766463852E+21,0,0,0"},{"p":"0,0277562626,-1,01570213,0,0155631071,-0,0294109341,-0,1962906,0,132961527,0,9710439","t":0,"va":"0,0,0,-785116,3,53584812504261E+21,-555160,875","wva":"-785124,3,53588415383963E+21,3,53589766463852E+21,0,0,0"},{"p":"-0,337973952,-0,37185,-0,04615927,-0,126281813,-0,134728387,0,2350584,0,9542792","t":0,"va":"0,0,0,785116,3,53584812504261E+21,-277580,4375","wva":"1062708,375,3,53588415383963E+21,3,53589766463852E+21,0,0,0"},{"p":"-0,334185243,-1,50289285,-0,00333437417,0,007162348,0,132157564,-0,00488481764,0,991190851","t":0,"va":"0,0,0,-0,00778165319934487,0,00354869104921818,0,00560738332569599","wva":"-0,0218432284891605,0,0158634167164564,-0,0105470661073923,0,0,0"},{"p":"0,102901019,-1,43057251,0,0866017,-0,09978718,-0,220965,-0,0268279575,0,9697924","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,360759348,-0,319095433,-0,0671765655,-0,126272932,-0,1420694,0,240619183,0,9518266","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,399639845,-1,5536356,-0,104292661,0,00753737241,0,132037058,-0,00503922952,0,9912033","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"0,176391557,-1,51247442,0,00369430543,-0,100452311,-0,220410556,-0,027079558,0,9698429","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,453727216,-0,122849211,-0,09739214,-0,202179044,-0,1381082,0,166575059,0,9551453","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,477323264,-0,256178617,-0,0987706259,-0,113432832,-0,196370974,0,263376921,0,937658846","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,344273031,-0,180875584,-0,06043561,-0,178524762,-0,0638005659,0,206391916,0,9599275","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,469412923,-0,0704426,-0,181198165,0,09387841,0,138939425,-0,1329416,-0,9768363","t":69114944573437,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,588064551,-0,303848565,-0,120344654,-0,08717847,-0,125054911,0,6482085,0,746047556","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,262439579,-0,10402061,-0,0382472947,0,0644526854,0,00305777742,-0,135940388,0,988613546","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,613060653,-0,543379,-0,114462607,0,0344817229,-0,344850868,0,5810394,0,736398041","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,0318917334,-0,181763068,-0,0168938041,0,186610356,0,6177513,0,3345652,0,686750352","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,6460467,-0,751394868,-0,249378443,-0,01977299,-0,4248965,0,5510154,0,717951238","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,0233957358,-0,00441525877,-0,196737319,0,2521988,0,6549501,0,323432624,0,634687066","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,650418937,-0,832621932,-0,285213083,-0,0197722111,-0,4248959,0,5510146,0,717952251","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"},{"p":"-0,0185997915,0,0567633063,-0,262453765,0,252198547,0,6549498,0,323433548,0,6346868","t":0,"va":"0,0,0,0,078064538538456,0,0381019674241543,0,0167983304709196","wva":"-0,00755599606782198,-0,0144965872168541,-0,026905283331871,0,0,0"}]},"timeStampNs":1777014188203780096,"Input":2}
Example of the Video 
{"notice":"This is the timestamp and head pose information when obtaining the image for the first frame.","timeStampNs":1775028127553583872,"cameraExtrinsics":"[0.004226368795699256, -0.9999461237645672, 0.009480895264669182, -0.021195964498222083, -0.9999908192954877, -0.004219479484407838, 7.465370854613225E-4, 0.08271580207501084, -7.064924217904565E-4, -0.009483963364414072, -0.9999547766311039, -0.017584167115639763, 0.0, 0.0, 0.0, 1.0]|[0.004226368795699258, -0.9999461237645678, 0.009480895264669182, -0.020924610514302097, -0.9999908192954877, -0.004219479484407841, 7.465370854613207E-4, 0.01851139734455566, -7.064924217904583E-4, -0.009483963364414075, -0.999954776631104, -0.017629527457467292, 0.0, 0.0, 0.0, 1.0]","cameraIntrinsics":"[1079.5, 404.5, 1373.6681390725917, 686.8680648828482]"} {"predictTime":7789556447.786,"appState":{"focus":true},"Head":{"pose":"0,0122336671,-0,0115574,-0,00247166213,0,0495285429,-0,131516263,-0,0263402574,-0,98972553","status":3},"Hand":{"leftHand":{"isActive":0,"count":26,"scale":1.0,"HandJointLocations":[{"p":"-0,256474227,-0,756658,0,0219409615,-0,30027917,0,2401002,0,441118449,0,8109247","s":0.0,"r":0.0},{"p":"-0,25248456,-0,719693363,0,0605613776,-0,3476866,0,250792027,0,438242078,0,790038764","s":0.0,"r":0.0},{"p":"-0,228186786,-0,727279544,0,0311632678,-0,1312938,-0,178940192,0,121903636,0,9674099","s":0.0,"r":0.0},{"p":"-0,21728532,-0,7333375,0,005188294,-0,1312938,-0,178940192,0,121903636,0,9674099","s":0.0,"r":0.0},{"p":"-0,206505537,-0,7393426,-0,0205296073,-0,1312938,-0,178940192,0,121903636,0,9674099","s":0.0,"r":0.0},{"p":"-0,195497289,-0,745462656,-0,0467643254,-0,1312938,-0,178940192,0,121903636,0,9674099","s":0.0,"r":0.0},{"p":"-0,242193639,-0,72764945,0,03434414,-0,300588727,0,182584092,0,480328977,0,8034884","s":0.0,"r":0.0},{"p":"-0,2472172,-0,7665537,-0,0139795067,-0,300588727,0,182584092,0,480328977,0,8034884","s":0.0,"r":0.0},{"p":"-0,247397274,-0,792223155,-0,0433209427,-0,300588727,0,182584092,0,480328977,0,8034884","s":0.0,"r":0.0},{"p":"-0,247498378,-0,8062739,-0,0593740158,-0,300588727,0,182584092,0,480328977,0,8034884","s":0.0,"r":0.0},{"p":"-0,247597516,-0,8204178,-0,0755380243,-0,300588727,0,182584092,0,480328977,0,8034884","s":0.0,"r":0.0},{"p":"-0,2526748,-0,735332847,0,0434304327,-0,30027917,0,2401002,0,441118449,0,8109247","s":0.0,"r":0.0},{"p":"-0,260273457,-0,7779832,0,000451393047,-0,30027917,0,2401002,0,441118449,0,8109247","s":0.0,"r":0.0},{"p":"-0,26602596,-0,8103134,-0,03213835,-0,30027917,0,2401002,0,441118449,0,8109247","s":0.0,"r":0.0},{"p":"-0,269147843,-0,8278146,-0,0497796535,-0,30027917,0,2401002,0,441118449,0,8109247","s":0.0,"r":0.0},{"p":"-0,2723189,-0,8456076,-0,06771469,-0,30027917,0,2401002,0,441118449,0,8109247","s":0.0,"r":0.0},{"p":"-0,2592024,-0,741801858,0,052642826,-0,33492133,0,283426523,0,4209238,0,793927133","s":0.0,"r":0.0},{"p":"-0,268734157,-0,7854883,0,0177773945,-0,33492133,0,283426523,0,4209238,0,793927133","s":0.0,"r":0.0},{"p":"-0,276071,-0,819098651,-0,009059346,-0,33492133,0,283426523,0,4209238,0,793927133","s":0.0,"r":0.0},{"p":"-0,279580235,-0,835194945,-0,0219074916,-0,33492133,0,283426523,0,4209238,0,793927133","s":0.0,"r":0.0},{"p":"-0,2832006,-0,8518053,-0,0351698846,-0,33492133,0,283426523,0,4209238,0,793927133","s":0.0,"r":0.0},{"p":"-0,2627641,-0,7473976,0,0643146262,-0,38199383,0,3138703,0,408667,0,767174959","s":0.0,"r":0.0},{"p":"-0,272574574,-0,7949356,0,0353255644,-0,38199383,0,3138703,0,408667,0,767174959","s":0.0,"r":0.0},{"p":"-0,27720356,-0,8179561,0,0213681627,-0,38199383,0,3138703,0,408667,0,767174959","s":0.0,"r":0.0},{"p":"-0,2800955,-0,832352,0,012632492,-0,38199383,0,3138703,0,408667,0,767174959","s":0.0,"r":0.0},{"p":"-0,283433437,-0,8489676,0,002550518,-0,38199383,0,3138703,0,408667,0,767174959","s":0.0,"r":0.0}]},"rightHand":{"isActive":1,"count":26,"scale":1.0,"HandJointLocations":[{"p":"0,1460025,-0,577996969,-0,2725917,0,183034346,0,06841474,-0,306980968,0,931440055","s":15.0,"r":0.0},{"p":"0,150738478,-0,597209752,-0,222880408,0,105606213,0,0611513332,-0,304119736,0,944785237","s":15.0,"r":0.0},{"p":"0,118163,-0,5871609,-0,2415941,0,108388178,0,325257123,0,290442646,0,8933661","s":15.0,"r":0.0},{"p":"0,09959882,-0,587024868,-0,2636349,-0,036013,0,27457124,0,33876273,0,899196","s":15.0,"r":0.0},{"p":"0,0862153247,-0,5941746,-0,287794441,-0,13529563,0,235402271,0,367083818,0,8896799","s":15.0,"r":0.0},{"p":"0,07691261,-0,606211066,-0,312607229,-0,13529563,0,235402271,0,367083818,0,8896799","s":15.0,"r":0.0},{"p":"0,132121935,-0,583797455,-0,241052911,0,140713885,0,144958138,-0,3092213,0,929284155","s":15.0,"r":0.0},{"p":"0,124116085,-0,557883859,-0,297083825,-0,268727362,0,197014332,-0,233920053,0,9133742","s":15.0,"r":0.0},{"p":"0,105182357,-0,573430359,-0,3274155,-0,529992044,0,2580402,-0,164164051,0,790932357","s":15.0,"r":0.0},{"p":"0,09276564,-0,5895132,-0,333924681,-0,623033643,0,2762343,-0,131264359,0,71992594","s":15.0,"r":0.0},{"p":"0,08071112,-0,607226,-0,335450023,-0,623033643,0,2762343,-0,131264359,0,71992594","s":15.0,"r":0.0},{"p":"0,146460578,-0,5896816,-0,24440445,0,183034346,0,06841474,-0,306980968,0,931440055","s":15.0,"r":0.0},{"p":"0,145544276,-0,5663124,-0,300778836,-0,1849409,0,135429338,-0,3052495,0,9242719","s":15.0,"r":0.0},{"p":"0,128729165,-0,5783071,-0,342187524,-0,424421549,0,2118343,-0,258154869,0,8416345","s":15.0,"r":0.0},{"p":"0,114310585,-0,5934628,-0,355968475,-0,485025853,0,230204552,-0,241919726,0,8082268","s":15.0,"r":0.0},{"p":"0,09885932,-0,6105927,-0,366755515,-0,485025853,0,230204552,-0,241919726,0,8082268","s":15.0,"r":0.0},{"p":"0,15709725,-0,596889257,-0,246464908,0,136015758,0,0193732772,-0,3086325,0,9412069","s":15.0,"r":0.0},{"p":"0,159792736,-0,5816967,-0,301033884,-0,118749768,0,08935441,-0,339762449,0,928695738","s":15.0,"r":0.0},{"p":"0,1490294,-0,5886673,-0,3427488,-0,373225182,0,180630088,-0,301324368,0,858649731","s":15.0,"r":0.0},{"p":"0,137847,-0,5997875,-0,356458127,-0,411251634,0,193926841,-0,2929496,0,841097534","s":15.0,"r":0.0},{"p":"0,125612974,-0,612255037,-0,369104356,-0,411251634,0,193926841,-0,2929496,0,841097534","s":15.0,"r":0.0},{"p":"0,165920153,-0,6070082,-0,246564284,0,0756877,-0,04312133,-0,3138547,0,945466638","s":15.0,"r":0.0},{"p":"0,173373178,-0,6002291,-0,3022045,-0,10780365,0,076767765,-0,3882465,0,91200316","s":15.0,"r":0.0},{"p":"0,167264819,-0,603977859,-0,328568667,-0,338244557,0,173833236,-0,35554114,0,8537934","s":15.0,"r":0.0},{"p":"0,1580806,-0,611733854,-0,3407141,-0,41367805,0,205115646,-0,338466138,0,8199017","s":15.0,"r":0.0},{"p":"0,145922467,-0,6223723,-0,352026343,-0,41367805,0,205115646,-0,338466138,0,8199017","s":15.0,"r":0.0}]}},"Body":{"joints":[{"p":"0,02163429,-0,6894672,0,07734049,0,0117561668,0,08030081,-0,0146593209,0,996593535","t":0,"va":"0,0,0,-1,96355181003582E-08,6,54517284814915E-09,-166746176","wva":"-9,12480718417462E-40,-2,68582525767512E-24,-2,68583472400598E-24,0,0,0"},{"p":"-0,03805034,-0,772972465,0,104259133,0,006786866,0,08298132,-0,0150884781,0,996413767","t":0,"va":"0,0,0,-6,54517284814915E-09,6,54517284814915E-09,-166746176","wva":"4,91115875388847E-40,-2,68582525767512E-24,-2,68583472400598E-24,0,0,0"},{"p":"0,07995533,-0,782982051,0,08076964,0,0137323011,0,06662557,-0,0289864689,0,9972624","t":0,"va":"0,0,0,3,2725864684835E-08,-6,54517284814915E-09,-166746176","wva":"1,12366760737893E-39,-2,68582525767512E-24,-2,68583472400598E-24,0,0,0"},{"p":"0,0276163351,-0,5710473,0,115982264,-0,00502141425,0,105049752,-0,00663382048,0,9944322","t":0,"va":"143419376,0,999947309494019,0,999999046325684,-143419376,0,999947309494019,0,999999046325684","wva":"-143419360,0,999947309494019,0,999999046325684,-143419360,0,999947309494019,0,999999046325684"},{"p":"-0,09028093,-1,15917683,0,09783735,-0,0373662263,0,0426194,0,008880977,0,9983529","t":0,"va":"0,0,0,-3,2725864684835E-08,6,54517284814915E-09,-166746176","wva":"6,94147207287941E-41,-2,68582525767512E-24,-2,68583472400598E-24,0,0,0"},{"p":"0,098103635,-1,17177415,0,06865558,-0,0291954,0,07829061,-0,03622578,0,9958443","t":0,"va":"0,0,0,1,96355181003582E-08,-6,54517284814915E-09,-166746176","wva":"9,128170300489E-40,-2,68582525767512E-24,-2,68583472400598E-24,0,0,0"},{"p":"0,019436188,-0,431764781,0,08954504,-0,00579616148,0,0909402743,-0,0158672743,0,9957131","t":0,"va":"0,0,0,6,54517284814915E-09,6,54517284814915E-09,-166746176","wva":"7,01966452718874E-40,-2,68582525767512E-24,-2,68583472400598E-24,0,0,0"},{"p":"-0,06434001,-1,57900679,0,165055245,0,00220589084,0,117909864,-0,0109542459,0,992961466","t":0,"va":"0,0,0,0,119648963212967,0,0049866228364408,-0,160387694835663","wva":"0,342572540044785,0,164802700281143,-0,0572675243020058,0,0,0"},{"p":"0,05681951,-1,58578038,0,131773859,-0,0009964666,0,0113023,-0,0517583229,0,9985952","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,0225758664,-0,371256948,0,08539499,0,02068851,0,09903833,-0,0168131813,0,9947265","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"-0,12714234,-1,6313194,0,06360577,0,00274327234,0,117948592,-0,0112364432,0,992952347","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,07863825,-1,64715958,0,0112964706,-0,0014815036,0,0117880348,-0,05158268,0,9985981","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,04960466,-0,159955859,0,126691848,-0,0139244683,0,09843855,-0,005139887,0,9950324","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"-0,0414090268,-0,2576753,0,123846032,0,0218654033,0,0391520225,-0,00177157472,0,998992443","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,113044463,-0,266358852,0,09702332,-0,0141236838,0,191534773,-0,0285031423,0,9809702","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,0298166741,-0,07949948,0,07749803,0,054082334,-0,11463692,-0,020256605,-0,9917274","t":143419381894739,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"-0,156862453,-0,272471964,0,156919479,-0,05013122,-0,0487497523,0,6084552,0,7905016","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,221893191,-0,275918722,0,0667007044,-0,145295471,0,308801949,-0,5340736,0,773496","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"-0,208093777,-0,5052448,0,1753474,-0,007671324,-0,319902331,0,5742247,0,753571332","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,2900987,-0,5024741,0,0163832027,0,111595839,0,764219463,-0,392369926,0,499560624","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"-0,252868474,-0,718677759,0,0607223138,0,003579482,-0,3871768,0,514456153,0,765125","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,150109261,-0,6097491,-0,219976947,0,2779935,0,7118923,-0,1500891,0,6272179","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"-0,2684297,-0,7978348,0,02420873,0,00357864145,-0,387177229,0,514456,0,765124857","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"},{"p":"0,148038611,-0,6039507,-0,309337646,0,27799347,0,711892545,-0,150089145,0,6272176","t":0,"va":"0,0,0,-0,0067184129729867,0,0895603224635124,0,0729991570115089","wva":"0,0198876261711121,0,119412049651146,-0,087569072842598,0,0,0"}]},"timeStampNs":1775028127589438976,"Input":2}
The market keeps asking for more data, but the data they have is broken. I wanted a setup that would make collection highly relevant relevant — not just for now, but for the future.
  • Martinian Letunovsky
  • Head of IT Department
Image

Real homes. Real people. Real interactions.

Diverse participants

Mixed age and gender across hundreds of contributors. Every recording is consented and licensed for commercial use.

Real + controlled environments

Captured in-the-wild — actual homes and kitchens, not clean lab setups. Lighting variation, clutter, and realistic human motion are features, not bugs.

Stratified scenarios

15,000+ structured tasks across coffee-making, cooking, object handling, and everyday chores — designed for embodied AI training.
Loading dishwasher Folding laundry Opening a jar Wiping a counter Boiling water Setting the table

How we run production-grade capture

Every session is a coordinated operation — actor briefing, environment prep, multi-device sync check, and quality review before a single clip ships.

Behind the Scenes

See Exactly What You're Buying

Data Visualisation
Format
.mp4, .rrd, .json
Madalities
RGB, Depth, Pose, Hands
Capture
Pico 4 Ultra
AVG Duration
2–6 min / scenario
Annotation
Scene, Action , Object, Hand pose
Licence
Commercial, 100% consented
Open live in Rerun viewer

Data Struggles? Let's Fix That

The problem

  • Volume isn’t enough. Plenty of first-person video exists, but most of it is unusable noise.
  • 2D data for a 3D problem. Flat GoPro footage with no camera position or lens data — useful only for pretraining.
  • Lab setups don’t transfer. Controlled lighting and scripted actors don’t reflect real homes or workplaces.
  • No body, no hands. Without skeleton and hand pose, action recognition is guesswork — you see what, never how.

What Unidata delivers

  • Curated, ML-ready by default. 15,000+ scenarios across 7 room types and 90+ functional zones, with auto-generated pose data.
  • Stereo capture with depth maps. Pico 4 Ultra delivers 6 synchronized streams for real-world 3D and spatial geometry.
  • Real + controlled environments. Structured scenarios captured in actual homes and kitchens — real backgrounds, real lighting, real motion.
  • Full-body skeleton + hand poses. Motion trackers on hands, feet, and pelvis. Full-body pose out of the box.

Industries

Image

Embodied AI & Robotics

Real-world video of humans handling objects, teaching robots manipulation and mobility.

Image

AR / VR Systems

Head-mounted capture that grounds spatial computing, hand tracking, and immersive UX.

Image

Autonomous Systems

Synchronized multi-sensor streams that train agents to perceive, plan, and act safely.

Image

Human Activity Understanding

Annotated daily activities that train models to recognize intent and segment actions.

Image

Smart Home & Assistive Tech

Real-home eye-level interactions powering assistants, fall detection, and home automation.

Image

Industrial Training & Workforce

Wearable capture of field work powering AR instructions and on-the-job copilots.

Image

Foundation & World Models

Large-scale real-world video with motion and depth, fuel for physical-world reasoning.

Image

Healthcare & Eldercare

First-person clinical recordings for surgical assistance and AI-assisted diagnostics.

End-to-End Egocentric Data Collection Workflow

From capture to delivery, we build complete egocentric data collection workflows tailored to your model — for embodied AI, robotics, AR/VR, and multimodal foundation models.

01 Discovery & Scoping
We align with the client's model goals, target scenarios, and use case to define data requirements before capture begins.
02 Egocentric Capture
First-person recordings collected with head-mounted cameras (Pico 4 Ultra, ZED) and IMU trackers in different setups, across real-world and controlled capture environments.
03 Capture Validation
Sessions are validated on-site for sensor synchronization, scenario completeness, and protocol compliance.
04 Auto-Pose Generation
3D pose data in quaternion format is generated automatically from onboard sensor fusion. No manual annotation required.
05 Client Review & Iteration
Continuous client sync throughout the project. As requirements shift, we realign scenarios, capture conditions, and protocols mid-flight.
06 Data Synchronization & Delivery
Time-aligning video, IMU streams, and pose data into structured, training-ready files in the client's preferred format.
07 Ongoing Support
Post-delivery support for retraining cycles, scenario expansion, and incremental capture as the client's model evolves.

Have questions about the process? Every project starts with a free consultation — no commitment required.

Request Free Pilot

Related Datasets

Image

3D Residential Scans Dataset

3D Residential Scans Dataset contains 3D scans of apartments, including splats and meshes generated via 3DGS technology, with high-quality point […]

Tasks
3D Reconstruction, Scene Understanding, Mesh Generation
Scan format
PLY / LAS (splats), OBJ/GLTF (meshes)
Capture device
XGRIDS PortalCam
Number of scans
100
Sensor outputs
3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, Orientation quaternions
egocentric dataset

Egocentric Video Dataset

This egocentric dataset contains 4,050 hours of first-person videos capturing daily activities in home environments, designed for Physical AI, robotic […]

Tasks
Hand Activity Recognition, Egocentric Action Recognition, Hand-Object Interaction
Hours of recordings
4,050
Video source
Pico 4 Ultra VR headset (egocentric) + 4 Zed stereo cameras (spatial depth)
Sensor data
IMU signals — accelerometer, gyroscope, magnetometer
Activities
Sorting, transferring, folding, assembly/disassembly, tool use, two-handed manipulation
robot dataset

Lerobot SO-101 Manipulations Dataset

Lerobot SO-101 Manipulations Dataset is a compact, high-quality set of 20 teleoperated robotic arm recordings (~30 FPS) captured on the […]

Tasks:
Pick-and-place, manipulation
Format:
LeRobot v2.1 (Parquet + MP4)
Sensor data:
3 camera views, 7-axis state and action space
Episodes:
20
Training:
Compatible with imitation learning pipelines
robotic dataset

Robotic Household Activities Dataset

This droid dataset comprises 1,000 hours of multimodal recordings of cleaning, laundry folding, and dishwashing activities, combining head-mounted video with […]

Tasks:
Human Activity Recognition, motion analysis, action segmentation
Sensor data:
3-axis accelerometer, gyroscope, magnetometer + orientation quaternions
Video:
Head-mounted MP4, JSON metadata
Hours:
1,000
Use:
Robotic learning, foundation models, humanoid systems

Similar Datasets

What our clients are saying

UniData

4 3 Reviews

PA

Paul 2025-02-21

Very Positive Experience!

The team was very responsive when requesting a specific dataset, and was able to work with us on what data we specifically needed and custom pricing for our use case. Overall a great experience, and would recommend them to others!

TH

Thorsten 2025-01-09

Very good experience

We got in touch with UniData to buy several datasets from them. Communication was very cooperative, quick, and friendly. We were able to find contract conditions that suited both parties well. I also appreciate the team's dedication to understand and address the needs of the customer. And the datasets we bought from UniData matched with our expectations.

Max Crous 2024-10-08

Data purchase

Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.

A

Abhijeet Zilpelwar 2025-02-26

Data is well organized and easy to…

Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.

Trusted by the world's biggest brands

FAQ

Can we license the existing 15,000 scenarios as-is?
Yes. The base dataset is available under a commercial license, with full multi-modal data — RGB, depth, pose, and annotations. We can also slice it by scenario type, environment, or participant demographics for your needs.
Do you do custom data collection?
Custom collection is the other half of what we do. Send us your task definitions, environment requirements, equipment list — we'll scope, price, and schedule. Most projects start delivering within two weeks.
What's the licensing situation for the participants?
Every participant signs a commercial-use release before recording. Faces, voices, and home interiors are cleared for use in training data, model evaluation, and downstream commercial AI products.
What output formats are supported?
Standard delivery includes .mp4 video, .rrd (Rerun) for visualization, .json metadata and annotation files, and pose/hand keypoint files. Other formats (Parquet, WebDataset, custom schemas) are available on request.
Why are tactile sensors on the roadmap — is hand pose not enough?
For many tasks, pose is sufficient. But real robots have tactile sensors on their manipulators for a reason: objects that look visually uniform can have uneven weight distribution — one side heavier than the other — and a robot needs to feel that, not just see it. Tactile data captures grip pressure, surface texture, and load asymmetry that no camera can provide. We're working on integrating instrumented gloves so the egocentric dataset can eventually cover this layer too.
Can we see real data before signing anything?
Yes — we publish live Rerun viewer links to actual scenario recordings. No gated demos, no NDA before evaluation. Click "Explore sample data" at the top of the page.

Why Companies Trust Unidata

1,100+ Labelers & AI Experts

  • 920K files labeled daily across text, audio, video, and image data
  • 20+ expert-level data labeling tools for quality & speed
01

19+ Industries & Diverse Data Types

  • Finance, IT, Retail, Healthcare & more
  • Standard and specialized formats (DICOM, LiDAR)
02

Turnkey ML/AI Services

  • From data collection to validation
  • Multi-type annotation tailored to you
03

100% Legal & Secure

  • Legally sourced & stored data
  • AWS ISO 27001/27701
04

Smooth Collaboration

  • Dedicated PM & SLA guarantee
  • Europe-timezone communication
05

Need Proof?

See the results we've delivered for leading tech companies and startups

Explore our case

Ready to get started?

Tell us what you need — we’ll reply within 24h with a free estimate

    What service are you looking for? *
    What service are you looking for?
    Data Labeling
    Data Collection
    Ready-made Datasets
    Human Moderation
    Medicine
    Other
    What's your budget range? *
    What's your budget range?
    < $1,000
    $1,000 – $5,000
    $5,000 – $10,000
    $10,000 – $50,000
    $50,000+
    Not sure yet
    • United States+1
    • United Kingdom+44
    • Afghanistan (‫افغانستان‬‎)+93
    • Albania (Shqipëri)+355
    • Algeria (‫الجزائر‬‎)+213
    • American Samoa+1684
    • Andorra+376
    • Angola+244
    • Anguilla+1264
    • Antigua and Barbuda+1268
    • Argentina+54
    • Armenia (Հայաստան)+374
    • Aruba+297
    • Australia+61
    • Austria (Österreich)+43
    • Azerbaijan (Azərbaycan)+994
    • Bahamas+1242
    • Bahrain (‫البحرين‬‎)+973
    • Bangladesh (বাংলাদেশ)+880
    • Barbados+1246
    • Belarus (Беларусь)+375
    • Belgium (België)+32
    • Belize+501
    • Benin (Bénin)+229
    • Bermuda+1441
    • Bhutan (འབྲུག)+975
    • Bolivia+591
    • Bosnia and Herzegovina (Босна и Херцеговина)+387
    • Botswana+267
    • Brazil (Brasil)+55
    • British Indian Ocean Territory+246
    • British Virgin Islands+1284
    • Brunei+673
    • Bulgaria (България)+359
    • Burkina Faso+226
    • Burundi (Uburundi)+257
    • Cambodia (កម្ពុជា)+855
    • Cameroon (Cameroun)+237
    • Canada+1
    • Cape Verde (Kabu Verdi)+238
    • Caribbean Netherlands+599
    • Cayman Islands+1345
    • Central African Republic (République centrafricaine)+236
    • Chad (Tchad)+235
    • Chile+56
    • China (中国)+86
    • Christmas Island+61
    • Cocos (Keeling) Islands+61
    • Colombia+57
    • Comoros (‫جزر القمر‬‎)+269
    • Congo (DRC) (Jamhuri ya Kidemokrasia ya Kongo)+243
    • Congo (Republic) (Congo-Brazzaville)+242
    • Cook Islands+682
    • Costa Rica+506
    • Côte d’Ivoire+225
    • Croatia (Hrvatska)+385
    • Cuba+53
    • Curaçao+599
    • Cyprus (Κύπρος)+357
    • Czech Republic (Česká republika)+420
    • Denmark (Danmark)+45
    • Djibouti+253
    • Dominica+1767
    • Dominican Republic (República Dominicana)+1
    • Ecuador+593
    • Egypt (‫مصر‬‎)+20
    • El Salvador+503
    • Equatorial Guinea (Guinea Ecuatorial)+240
    • Eritrea+291
    • Estonia (Eesti)+372
    • Ethiopia+251
    • Falkland Islands (Islas Malvinas)+500
    • Faroe Islands (Føroyar)+298
    • Fiji+679
    • Finland (Suomi)+358
    • France+33
    • French Guiana (Guyane française)+594
    • French Polynesia (Polynésie française)+689
    • Gabon+241
    • Gambia+220
    • Georgia (საქართველო)+995
    • Germany (Deutschland)+49
    • Ghana (Gaana)+233
    • Gibraltar+350
    • Greece (Ελλάδα)+30
    • Greenland (Kalaallit Nunaat)+299
    • Grenada+1473
    • Guadeloupe+590
    • Guam+1671
    • Guatemala+502
    • Guernsey+44
    • Guinea (Guinée)+224
    • Guinea-Bissau (Guiné Bissau)+245
    • Guyana+592
    • Haiti+509
    • Honduras+504
    • Hong Kong (香港)+852
    • Hungary (Magyarország)+36
    • Iceland (Ísland)+354
    • India (भारत)+91
    • Indonesia+62
    • Iran (‫ایران‬‎)+98
    • Iraq (‫العراق‬‎)+964
    • Ireland+353
    • Isle of Man+44
    • Israel (‫ישראל‬‎)+972
    • Italy (Italia)+39
    • Jamaica+1876
    • Japan (日本)+81
    • Jersey+44
    • Jordan (‫الأردن‬‎)+962
    • Kazakhstan (Казахстан)+7
    • Kenya+254
    • Kiribati+686
    • Kosovo+383
    • Kuwait (‫الكويت‬‎)+965
    • Kyrgyzstan (Кыргызстан)+996
    • Laos (ລາວ)+856
    • Latvia (Latvija)+371
    • Lebanon (‫لبنان‬‎)+961
    • Lesotho+266
    • Liberia+231
    • Libya (‫ليبيا‬‎)+218
    • Liechtenstein+423
    • Lithuania (Lietuva)+370
    • Luxembourg+352
    • Macau (澳門)+853
    • Macedonia (FYROM) (Македонија)+389
    • Madagascar (Madagasikara)+261
    • Malawi+265
    • Malaysia+60
    • Maldives+960
    • Mali+223
    • Malta+356
    • Marshall Islands+692
    • Martinique+596
    • Mauritania (‫موريتانيا‬‎)+222
    • Mauritius (Moris)+230
    • Mayotte+262
    • Mexico (México)+52
    • Micronesia+691
    • Moldova (Republica Moldova)+373
    • Monaco+377
    • Mongolia (Монгол)+976
    • Montenegro (Crna Gora)+382
    • Montserrat+1664
    • Morocco (‫المغرب‬‎)+212
    • Mozambique (Moçambique)+258
    • Myanmar (Burma) (မြန်မာ)+95
    • Namibia (Namibië)+264
    • Nauru+674
    • Nepal (नेपाल)+977
    • Netherlands (Nederland)+31
    • New Caledonia (Nouvelle-Calédonie)+687
    • New Zealand+64
    • Nicaragua+505
    • Niger (Nijar)+227
    • Nigeria+234
    • Niue+683
    • Norfolk Island+672
    • North Korea (조선 민주주의 인민 공화국)+850
    • Northern Mariana Islands+1670
    • Norway (Norge)+47
    • Oman (‫عُمان‬‎)+968
    • Pakistan (‫پاکستان‬‎)+92
    • Palau+680
    • Palestine (‫فلسطين‬‎)+970
    • Panama (Panamá)+507
    • Papua New Guinea+675
    • Paraguay+595
    • Peru (Perú)+51
    • Philippines+63
    • Poland (Polska)+48
    • Portugal+351
    • Puerto Rico+1
    • Qatar (‫قطر‬‎)+974
    • Réunion (La Réunion)+262
    • Romania (România)+40
    • Russia (Россия)+7
    • Rwanda+250
    • Saint Barthélemy+590
    • Saint Helena+290
    • Saint Kitts and Nevis+1869
    • Saint Lucia+1758
    • Saint Martin (Saint-Martin (partie française))+590
    • Saint Pierre and Miquelon (Saint-Pierre-et-Miquelon)+508
    • Saint Vincent and the Grenadines+1784
    • Samoa+685
    • San Marino+378
    • São Tomé and Príncipe (São Tomé e Príncipe)+239
    • Saudi Arabia (‫المملكة العربية السعودية‬‎)+966
    • Senegal (Sénégal)+221
    • Serbia (Србија)+381
    • Seychelles+248
    • Sierra Leone+232
    • Singapore+65
    • Sint Maarten+1721
    • Slovakia (Slovensko)+421
    • Slovenia (Slovenija)+386
    • Solomon Islands+677
    • Somalia (Soomaaliya)+252
    • South Africa+27
    • South Korea (대한민국)+82
    • South Sudan (‫جنوب السودان‬‎)+211
    • Spain (España)+34
    • Sri Lanka (ශ්‍රී ලංකාව)+94
    • Sudan (‫السودان‬‎)+249
    • Suriname+597
    • Svalbard and Jan Mayen+47
    • Swaziland+268
    • Sweden (Sverige)+46
    • Switzerland (Schweiz)+41
    • Syria (‫سوريا‬‎)+963
    • Taiwan (台灣)+886
    • Tajikistan+992
    • Tanzania+255
    • Thailand (ไทย)+66
    • Timor-Leste+670
    • Togo+228
    • Tokelau+690
    • Tonga+676
    • Trinidad and Tobago+1868
    • Tunisia (‫تونس‬‎)+216
    • Turkey (Türkiye)+90
    • Turkmenistan+993
    • Turks and Caicos Islands+1649
    • Tuvalu+688
    • U.S. Virgin Islands+1340
    • Uganda+256
    • Ukraine (Україна)+380
    • United Arab Emirates (‫الإمارات العربية المتحدة‬‎)+971
    • United Kingdom+44
    • United States+1
    • Uruguay+598
    • Uzbekistan (Oʻzbekiston)+998
    • Vanuatu+678
    • Vatican City (Città del Vaticano)+39
    • Venezuela+58
    • Vietnam (Việt Nam)+84
    • Wallis and Futuna (Wallis-et-Futuna)+681
    • Western Sahara (‫الصحراء الغربية‬‎)+212
    • Yemen (‫اليمن‬‎)+967
    • Zambia+260
    • Zimbabwe+263
    • Åland Islands+358
    Where did you hear about Unidata? *
    Where did you hear about Unidata?
    Andrew
    Head of Client Success

    — I'll guide you through every step, from your first
    message to full project delivery

    Thank you for your
    message

    It has been successfully sent!

    We use cookies to enhance your experience, personalize content, ads, and analyze traffic. By clicking 'Accept All', you agree to our Cookie Policy.