Gaze360 Physically Unconstrained Gaze Dataset
Indoor and outdoor panoramic-camera recordings with continuous three-dimensional gaze labels across wide head poses and distances.
At a glance
| Field | Value |
|---|---|
| Short name | gaze360 |
| Full name | Gaze360 Physically Unconstrained Gaze Dataset |
| Primary category | eye_tracking |
| Contained modalities | eye_tracking |
| Tasks | gaze_estimation, regression |
| Samples | 172,000 |
| 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 project reports 238 participants; the benchmark is commonly reported as 172,000 labeled frames. Access uses registration, and the public landing page does not state a standard reuse license.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download gaze360 --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download gaze360 --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('gaze360')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: gaze360.csail.mit.edu
Source-term evidence: gaze360.csail.mit.edu
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{gaze360,
title = { Gaze360 Physically Unconstrained Gaze Dataset },
note = { Kellnhofer P, Recasens A, Stent S, Matusik W, Torralba A. Gaze360: Physically Unconstrained Gaze Estimation in the Wild. ICCV. 2019:6912-6921. arXiv:1910.10088 },
year = { 2019 },
url = { https://gaze360.csail.mit.edu/ },
}
Kellnhofer P, Recasens A, Stent S, Matusik W, Torralba A. Gaze360: Physically Unconstrained Gaze Estimation in the Wild. ICCV. 2019:6912-6921. arXiv:1910.10088
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.
Related datasets with shared modalities
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unknown) - gaze_capture: GazeCapture Mobile Eye-Tracking Dataset (2,445,504 records,
unknown) - eth_xgaze: ETH-XGaze Extreme-Pose Gaze Estimation Dataset (1,083,492 records,
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