| --- |
| license: other |
| pretty_name: gazekit personal gaze dataset |
| tags: |
| - gaze-estimation |
| - eye-tracking |
| - biometric |
| --- |
| |
| # gazekit personal gaze dataset |
|
|
| Personal eye-tracking dataset collected with |
| [gazekit](https://github.com/ZoneTwelve/gazekit). **Contains biometric data (eye-region images) of a single individual,** |
| shared by that individual. Use for gaze-estimation research/experiments; |
| do not use for identification or attempt to re-identify beyond the |
| published account. |
|
|
| ## Collection toolkit |
|
|
| All of this data is collected by the open-source |
| **[gazekit](https://github.com/ZoneTwelve/gazekit)** pipeline — |
| calibration grids, VOR/posture/edges scenarios, ambient popups with a UCB |
| sampling bandit, mouse-verify teaching, ARKit teacher pairing |
| (`ios/GazeTeacher`), and a clean/train/validate/evaluate/update loop. |
| Reproduce your own dataset with `python -m gazekit auto`. |
|
|
| ## Contents |
|
|
| `dataset.tar.gz` unpacks to `session_*/` directories: |
|
|
| - `samples.jsonl` — one record per sample: screen-target label (px), |
| 14-dim landmark feature vector, head pose (yaw/pitch/roll, deg), |
| blink score, and a collection tag |
| - `crops/NNNNNN_R.png`, `crops/NNNNNN_L.png` — 64x48 grayscale |
| roll-normalized eye crops (right/left) |
| - `pruned.json` at the root — sample ids flagged as noise by the |
| `gazekit iterate` cleaning stage (skip these when training) |
|
|
| ## Tags |
|
|
| | tag | scenario | |
| |---|---| |
| | `calib` / `probe` / `repair` | calibration grid dwell points / held-out validation probes | |
| | `vor` | fixed dot, moving head (vestibulo-ocular reflex) | |
| | `posture` | grid repeated at 3 sitting postures | |
| | `edges` | near-margin screen points | |
| | `pursuit` | smooth-pursuit sweep (labels lag-compensated; noisier) | |
| | `click` / `ambient` | live-mode click-teach / background popup samples | |
| | `closed` | eyes closed (blink calibration; **no valid gaze label**) | |
|
|
| Load helpers: `gazekit.dataset.load_sessions` (CNN training pairs) and |
| `gazekit.dataset.load_dwell_features` (ridge features). |
|
|
