CaDIS: Cataract Dataset for Image Segmentation

Semantic segmentation labels for 4,670 frames from 25 cataract surgery videos (CATARACTS challenge). 25 anatomy and instrument classes.

At a glance

Field	Value
Short name	cadis
Full name	CaDIS: Cataract Dataset for Image Segmentation
Primary category	surgical_video
Contained modalities	surgical_video
Tasks	segmentation
Samples	4,670
Classes	25 (Not reported)
Splits	train, val, test
Size	15.0 GB
Source-stated terms	Research only (Grand Challenge terms)
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	challenge_participation
Access friction	self_service_clickthrough
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

Standard cataract-scene segmentation benchmark. Grand Challenge account required.

Access preflight and acquisition

CLI

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

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

Python

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

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

Upstream page: cataracts-semantic-segmentation2020.grand-challenge.org

Source-term evidence: cataracts-semantic-segmentation2020.grand-challenge.org

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

@misc{cadis,
  title  = { CaDIS: Cataract Dataset for Image Segmentation },
  note   = { Grammatikopoulou M, Flouty E, Kadkhodamohammadi A, et al., 'CaDIS: Cataract dataset for image segmentation', arXiv 1906.11586, 2019 },
  year   = { 1906 },
  url    = { https://cataracts-semantic-segmentation2020.grand-challenge.org/ },
}

Plain text

Grammatikopoulou M, Flouty E, Kadkhodamohammadi A, et al., 'CaDIS: Cataract dataset for image segmentation', arXiv 1906.11586, 2019.

Source-stated terms

• Raw source string: Research only (Grand Challenge terms)
• Normalized category: research-only
• Apparent scope: challenge_participation
• Descriptive screening label: Research or challenge restriction 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)
• cataract_lmm: Cataract-LMM: Large-Scale Multi-Source Multi-Task Cataract Surgery Benchmark (3,000 records, cc-by-nc-nd)
• ophnet2024: OphNet2024: Ophthalmic Surgical Video Dataset (2,278 records, cc-by-nc-sa)
• 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)