AROMA Retinal OCTA Artifact Dataset
Retinal OCTA scans labeled for artifact type, artifact severity, signal strength, and image quality.
At a glance
| Field | Value |
|---|---|
| Short name | aroma_octa |
| Full name | AROMA Retinal OCTA Artifact Dataset |
| First published | 2026-01-15 |
| Publication date precision | day |
| Publication date evidence | zenodo.org/api |
| Publication date source field | metadata.publication_date (earliest public Zenodo version) |
| Publication date reviewed | 2026-09-11 |
| Primary category | octa |
| Resource role | current_dataset |
| Dataset family | aroma_octa |
| Contained modalities | octa |
| Tasks | quality_assessment, classification, grading |
| Primary reported quantity | 281 images |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 1.011 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 | self_service_authenticated |
| Route backend | Zenodo |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 281 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | https://doi.org/10.5281/zenodo.18258095 |
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 source reports 281 scans from 115 patients. Fourteen en-face images per scan yield 3,934 derived images with seven artifact types graded on a four-level severity scale.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download aroma_octa --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download aroma_octa --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('aroma_octa')
print(preflight_dataset(ds, './data')) # no download
Upstream page: https://doi.org/10.5281/zenodo.18258095
Source-term evidence: https://doi.org/10.5281/zenodo.18258095
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{aroma_octa,
title = { AROMA Retinal OCTA Artifact Dataset },
note = { Szwarcberg L, Anwer A, Gozlan A, et al. The AROMA Dataset for Automatic Detection of Artifact Type and Severity in Retinal Optical Coherence Tomography Angiography. Ophthalmic Research. 2026. doi:10.1159/000551126 },
year = { 2026 },
url = { https://doi.org/10.5281/zenodo.18258095 },
}
Szwarcberg L, Anwer A, Gozlan A, et al. The AROMA Dataset for Automatic Detection of Artifact Type and Severity in Retinal Optical Coherence Tomography Angiography. Ophthalmic Research. 2026. doi:10.1159/000551126
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.
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