UWHVF: University of Washington Humphrey Visual Field

28,943 HFA 24-2 visual field tests with per-point sensitivities, MD/PSD indices, glaucoma labels, and longitudinal follow-up data. Input: 52-element sensitivity array (not an image).

At a glance

Field	Value
Short name	uwhvf
Full name	UWHVF: University of Washington Humphrey Visual Field
Primary category	visual_field
Contained modalities	visual_field
Tasks	classification, regression
Samples	28,943
Classes	2 (Non-glaucoma, Glaucoma)
Splits	all
Size	0.05 GB
Source-stated terms	CC BY 4.0
Normalized terms	cc-by
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Direct HTTP
Availability	available (checked 2026-07-21)
Acquisition support	loader_implemented_not_live_tested
Legacy sample-loader status	Standard loader included

Notes

Non-imaging dataset. Samples are 52-element visual field arrays. Models must accept 1D/2D VF arrays, not RGB images.

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: github.com/uw-biomedical-ml

Source-term evidence: github.com/uw-biomedical-ml

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('uwhvf')
samples = ds.load(data_dir, split='all')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{uwhvf,
  title  = { UWHVF: University of Washington Humphrey Visual Field },
  note   = { Boland et al., 'The University of Washington Humphrey Visual Field database', Ophthalmic Epidemiology 2022 },
  year   = { 2022 },
  url    = { https://github.com/uw-biomedical-ml/uwhvf/archive/refs/heads/master.zip },
}

Plain text

Boland et al., 'The University of Washington Humphrey Visual Field database', Ophthalmic Epidemiology 2022.

Source-stated terms

• Raw source string: CC BY 4.0
• Normalized category: cc-by
• Apparent scope: dataset_files
• Descriptive screening label: Standard label without an explicit NC clause; not a permission finding

⚠️ 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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• harvard_gdp: Harvard GDP: Glaucoma Detection and Progression Dataset (1,000 records, cc-by-nc-nd)
• dryad_glaucoma_rnfl_vf: RNFL and Visual-Field Glaucoma Diagnosis Dataset (499 records, cc0)
• eyecatcher_visual_field: Eyecatcher Tablet-Based Visual Field Home-Monitoring Data (440 records, cc-by)
• stage_task1: STAGE 2023 Task 1 — Mean Deviation Prediction from OCT (400 records, research-only)
• stage_task2: STAGE 2023 Task 2 — Visual Field Sensitivity Map Prediction (400 records, research-only)
• stage_task3: STAGE 2023 Task 3 — Pattern Deviation Probability Map (400 records, research-only)
• fairvlmed: FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset (count not reported records, unknown)