CATARACTS 2017: Surgical Tool Detection Challenge

50 cataract surgery videos (>9 hours total) with frame-level annotations of 21 surgical tools. Earlier and larger sibling to Cataract-1K.

At a glance

Field	Value
Short name	cataracts2017
Full name	CATARACTS 2017: Surgical Tool Detection Challenge
Primary category	surgical_video
Contained modalities	surgical_video
Tasks	classification, multilabel
Samples	50
Classes	21 (Not reported)
Splits	train, test
Size	50.0 GB
Source-stated terms	CC BY 4.0 (IEEE DataPort)
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	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Metadata and access only

Notes

IEEE DataPort free account login required.

Access preflight and acquisition

CLI

# Read-only preflight
eyehub download cataracts2017 --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download cataracts2017 --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('cataracts2017')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: ieee-dataport.org/open-access

Source-term evidence: ieee-dataport.org/open-access

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{cataracts2017,
  title  = { CATARACTS 2017: Surgical Tool Detection Challenge },
  note   = { Al Hajj et al., 'CATARACTS: Challenge on Automatic Tool Annotation for cataRACT Surgery', Medical Image Analysis 2019 },
  year   = { 2019 },
  url    = { https://ieee-dataport.org/open-access/cataracts },
}

Plain text

Al Hajj et al., 'CATARACTS: Challenge on Automatic Tool Annotation for cataRACT Surgery', Medical Image Analysis 2019.

Source-stated terms

• Raw source string: CC BY 4.0 (IEEE DataPort)
• 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

• 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)
• 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)