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
Primary category	eye_tracking
Contained modalities	eye_tracking
Tasks	gaze_estimation, regression
Samples	2,445,504
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

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 preflight and acquisition

CLI

# Read-only preflight
eyehub download gaze_capture --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download gaze_capture --data-dir ./data

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('gaze_capture')
print(preflight_dataset(ds, './data'))  # no transfer

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

@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 },
}

Plain text

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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• mpii_gaze: MPIIGaze Appearance-Based Gaze Estimation Dataset (213,659 records, cc-by-nc-sa)
• gaze360: Gaze360 Physically Unconstrained Gaze Dataset (172,000 records, unknown)
• lpw: LPW Labelled Pupils in the Wild (130,856 records, research-only)
• glaucoma_eye_movements: Eye Movements of Glaucoma Patients with Asymmetrical Visual Field Loss (270 records, cc-by)