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ITEC Iris and Pupil Segmentation Dataset

Human cataract-surgery video frames with iris and pupil pixel masks.

At a glance​

FieldValue
Short nameitec_iris_pupil
Full nameITEC Iris and Pupil Segmentation Dataset
Publication dateUnknown
Date basisUnknown
Publication date precisionUnknown
Publication date evidenceUnknown
Publication date source fieldUnknown
Publication date reviewedUnknown
Date notes-
Primary categorysurgical_video
Resource roleannotation_layer
Dataset familyitec_iris_pupil
Contained modalitiessurgical_video
Taskssegmentation
Primary reported quantity82 frames
ClassesNot reported (Not reported)
Splitsall
SizeNot reported
Source-stated termsScientific-research-only; noncommercial use
Normalized termsunknown
Descriptive screening labelUnknown or unclear; do not assume permission
Terms scopedataset_files
Access frictioncontrolled_or_manual
Route backendManual (upstream-gated)
Availabilityavailable (checked 2026-08-02)
Acquisition supportmanual_access_blocked
Legacy sample-loader statusMetadata and access only

Reported quantities​

RoleCountUnitScopeBasisEvidence
Primary82framesOfficial ITEC source reports 82 annotated frames from 35 cataract-surgery videos. Source-stated quantity; repository file count is separate.official_source_descriptionftp.itec.aau.at/datasets

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 official ITEC agreement route is canonical. Kaggle is an alternate mirror, not the controlling source.

Documented relationships​

These links record source-supported lineage or overlap, not merely similar modality tags.

  • This record is derived from cataract_101: The official ITEC page states that the annotated iris and pupil frames were selected from Cataract-101 surgery videos. (evidence)

Access information and download​

# This route requires upstream human action; no transfer starts.
eyehub download itec_iris_pupil --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.

Upstream page: ftp.itec.aau.at/datasets

Other documented locations​

These links identify alternate deposits, components, metadata records, mirrors, versions, or related derived materials. They do not create additional canonical catalog records.

Source-term evidence: ftp.itec.aau.at/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​

@misc{itec_iris_pupil,
title = { ITEC Iris and Pupil Segmentation Dataset },
note = { Repository dataset record. arwabasal/itec-iris-and-pupil-segmentation },
url = { https://ftp.itec.aau.at/datasets/ovid/iris_pupil_seg/index.html },
}

Source-stated terms​

  • Raw source string: Scientific-research-only; noncommercial use
  • Normalized category: unknown
  • Apparent scope: dataset_files
  • Descriptive screening label: Unknown or unclear; do not assume permission

⚠️ 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.

Similar resources by shared modality​

  • ophora: Ophora-160K: Ophthalmic Surgical Video Instruction Dataset (162,185 video clip instruction pairs, unknown)
  • lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 annotated instances, unknown)
  • insegcat: InSegCat: Instance Segmentation for Cataract Surgery (5,581 annotated images, research-only)
  • cadis: CaDIS: Cataract Dataset for Image Segmentation (4,670 images, research-only)
  • cataract_lmm: Cataract-LMM: Large-Scale Multi-Source Multi-Task Cataract Surgery Benchmark (3,000 videos, cc-by-nc-nd)
  • ophnet2024: OphNet2024: Ophthalmic Surgical Video Dataset (2,278 videos, cc-by-nc-sa)
  • lmod_cataract_1k: LMOD-Cataract-1K (2,256 images, cc-by)
  • lmod_cataract_1k_cot: Cataract-1K Surgical Analysis Chain-of-Thought Dataset (2,256 images, mit)