GazeCapture Mobile Eye-Tracking Dataset
Crowdsourced iPhone and iPad face videos with screen-fixation coordinates for appearance-based mobile gaze estimation.
At a glance
| Field | Value |
|---|---|
| Short name | gaze_capture |
| Full name | GazeCapture Mobile Eye-Tracking Dataset |
| Publication date | 2017-03 |
| Date basis | Initial dataset release |
| Publication date precision | month |
| Publication date evidence | github.com/CSAILVision |
| Publication date source field | Official GitHub README: History |
| Publication date reviewed | 2026-09-11 |
| Date notes | The official project README says the original code, dataset, and models were released in March 2017; no day is given. |
| Primary category | eye_tracking |
| Resource role | current_dataset |
| Dataset family | gaze_capture |
| Contained modalities | eye_tracking |
| Tasks | gaze_estimation, regression |
| Primary reported quantity | 2,445,504 frames |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | Unknown; registration required and source terms must be checked |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | unknown |
| Access friction | self_service_authenticated |
| Route backend | Manual (upstream-gated) |
| Availability | available (checked 2026-07-21) |
| Acquisition support | guided_instructions_only |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 2,445,504 | frames | Labeled mobile-camera frames | official_source_description | gazecapture.csail.mit.edu |
| Additional | 1,474 | participants | Crowdsourced participants | official_source_description | gazecapture.csail.mit.edu |
Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.
Notes
The primary paper reports 2,445,504 frames with fixation locations from 1,474 participants. The official site requires account registration; verify the current agreement before reuse.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download gaze_capture --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download gaze_capture --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('gaze_capture')
print(preflight_dataset(ds, './data')) # no download
Upstream page: gazecapture.csail.mit.edu/dataset.php
Source-term evidence: gazecapture.csail.mit.edu/dataset.php
Loader status
This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.
Citation
- BibTeX
- Plain text
@misc{gaze_capture,
title = { GazeCapture Mobile Eye-Tracking Dataset },
note = { Krafka K, Khosla A, Kellnhofer P, et al. Eye Tracking for Everyone. CVPR. 2016:2176-2184. arXiv:1606.05814 },
year = { 2016 },
url = { https://gazecapture.csail.mit.edu/dataset.php },
}
Krafka K, Khosla A, Kellnhofer P, et al. Eye Tracking for Everyone. CVPR. 2016:2176-2184. arXiv:1606.05814
Source-stated terms
- Raw source string: Unknown; registration required and source terms must be checked
- Normalized category:
unknown - Apparent scope:
unknown - Descriptive screening label: Unknown or unclear; do not assume permission
⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.
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