MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark
58,036 fundus + 45,923 OCT images assembled for multi-disease classification (8 classes) with cross-modal distillation. Sourced from multiple public ophthalmic datasets.
At a glance
| Field | Value |
|---|---|
| Short name | multieye |
| Full name | MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark |
| Primary category | multimodal |
| Contained modalities | fundus, oct |
| Tasks | classification |
| Samples | 58,036 |
| Classes | 8 (Not reported) |
| Splits | train, val, test |
| Size | 27.3 GB |
| Source-stated terms | MIT |
| Normalized terms | mit |
| Descriptive screening label | Standard label without an explicit NC clause; verify that it applies to data |
| Terms scope | unknown |
| Access friction | anonymous_direct |
| Route backend | HuggingFace Hub |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Notes
Re-aggregates several source datasets — image licenses inherit from their original sources. Verify per-component before reuse.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download multieye --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download multieye --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('multieye')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: huggingface.co/datasets
Source-term evidence: huggingface.co/datasets
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{multieye,
title = { MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark },
note = { MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark, IEEE TMI 2025; arXiv:2412.09402 },
year = { 2025 },
url = { https://huggingface.co/datasets/Luxuriant16/MultiEYE },
}
MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark, IEEE TMI 2025; arXiv:2412.09402
Source-stated terms
- Raw source string: MIT
- Normalized category:
mit - Apparent scope:
unknown - Descriptive screening label: Standard label without an explicit NC clause; verify that it applies to data
⚠️ 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
- eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records,
unknown) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records,
unknown) - harvard_fairvision: Harvard-FairVision (AMD + DR + Glaucoma, paired SLO + OCT) (30,000 records,
cc-by-nc-nd) - mmrdr: MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset (24,460 records,
cc-by) - x_pcr: X-PCR Ophthalmology Progressive Clinical Reasoning Benchmark (18,700 records,
unknown) - olives: OLIVES: Ophthalmic Labels for Investigating Visual Eye Semantics (9,408 records,
cc-by) - oct_fundus_dme_dr_mexico: OCT and Eye Fundus Dataset for DME and DR (2,661 records,
unknown) - grape: GRAPE: Glaucoma Real-world Appraisal Progression Ensemble (1,115 records,
cc0)