OphNet2024: Ophthalmic Surgical Video Dataset
Large-scale multi-procedure ophthalmic surgical video dataset covering 66 surgery types, 102 phases, 150 operations (~285 h). 1,969 untrimmed videos; 17,508 trimmed operation-level clips; 14,674 trimmed phase-level clips across cataract, vitreoretinal, glaucoma, corneal, refractive, oculoplastic, and strabismus. 743 videos have time-boundary annotations. ECCV 2024.
At a glance
| Field | Value |
|---|---|
| Short name | ophnet2024 |
| Full name | OphNet2024: Ophthalmic Surgical Video Dataset |
| Primary category | surgical_video |
| Contained modalities | surgical_video |
| Tasks | classification, phase_recognition, detection |
| Samples | 2,278 |
| Classes | 8 (Cataract Surgery, Vitreoretinal Surgery, Glaucoma Surgery, Corneal Surgery, Refractive Surgery, Oculoplastic Surgery, Strabismus Surgery, Other) |
| Splits | train, val, test |
| Size | 583.0 GB |
| Source-stated terms | CC BY-NC-SA 4.0 |
| Normalized terms | cc-by-nc-sa |
| Descriptive screening label | Explicit noncommercial clause recorded; check source |
| Terms scope | dataset_files |
| Access friction | self_service_authenticated |
| Route backend | HuggingFace Hub |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Standard loader included |
Notes
~583 GB total: untrimmed ~305 GB, trimmed operations ~139 GB, trimmed phases ~139 GB, features ~26 GB. num_samples = 2,278 source videos. May require HF_TOKEN for gated access. Set HF_TOKEN in .env. GitHub: https://github.com/minghu0830/OphNet-benchmark
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download ophnet2024 --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download ophnet2024 --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('ophnet2024')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: huggingface.co/datasets
Source-term evidence: huggingface.co/datasets
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('ophnet2024')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
print(s.sample_id, s.label, s.image_path)
Citation
- BibTeX
- Plain text
@misc{ophnet2024,
title = { OphNet2024: Ophthalmic Surgical Video Dataset },
note = { Hu M et al., 'OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding', ECCV 2024. arXiv:2406.07471. HuggingFace: https://huggingface.co/datasets/xioamiyh/OphNet2024 — GitHub: https://github.com/minghu0830/OphNet-benchmark },
year = { 2024 },
url = { https://huggingface.co/datasets/xioamiyh/OphNet2024 },
}
Hu M et al., 'OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding', ECCV 2024. arXiv:2406.07471. HuggingFace: https://huggingface.co/datasets/xioamiyh/OphNet2024 — GitHub: https://github.com/minghu0830/OphNet-benchmark
Source-stated terms
- Raw source string: CC BY-NC-SA 4.0
- Normalized category:
cc-by-nc-sa - Apparent scope:
dataset_files - Descriptive screening label: Explicit noncommercial clause recorded; check source
⚠️ 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
- ophora: Ophora-160K: Ophthalmic Surgical Video Instruction Dataset (160,185 records,
unknown) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records,
unknown) - cadis: CaDIS: Cataract Dataset for Image Segmentation (4,670 records,
research-only) - cataract_lmm: Cataract-LMM: Large-Scale Multi-Source Multi-Task Cataract Surgery Benchmark (3,000 records,
cc-by-nc-nd) - cataract1k: Cataract-1K: Large-Scale Cataract Surgery Video Dataset (1,000 records,
research-only) - migs_video: Multicenter Fine-Annotated MIGS Surgical Video Dataset (186 records,
cc-by) - sics155: SICS-155 Small Incision Cataract Surgery Videos (155 records,
cc-by-nc) - cataract101_extended_labels: Cataract-101 Extended Labels (101 records,
cc-by)