LMOD-Cataract-1K

Processed Cataract-1K surgical-frame dataset for segmentation/object-detection workflows.

At a glance

Field	Value
Short name	lmod_cataract_1k
Full name	LMOD-Cataract-1K
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	surgical_video
Resource role	derivative_dataset
Dataset family	lmod_cataract_1k
Contained modalities	surgical_video
Tasks	segmentation, detection
Primary reported quantity	2,256 images
Classes	Not reported (Not reported)
Splits	all
Size	2.0 GB
Source-stated terms	CC BY 4.0
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	HuggingFace Hub
Availability	available (checked 2026-07-21)
Acquisition support	standard_platform_supported
Legacy sample-loader status	Metadata and access only

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	2,256	images	Rows in the versioned Hugging Face deposit	current_deposit_table	huggingface.co/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

Derivative/processed view of existing Cataract-1K.

Documented relationships

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

• lmod_cataract_1k_cot is derived from this record: The dataset card identifies LMOD-Cataract-1K as its image source. (evidence)
• This record is derived from cataract1k: The dataset card identifies Cataract-1K as the source of the processed surgical frames. (evidence)

Access information and download

CLI

# Read-only preflight
eyehub download lmod_cataract_1k --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download lmod_cataract_1k --data-dir ./data

Python

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

ds = REGISTRY.get_dataset('lmod_cataract_1k')
print(preflight_dataset(ds, './data'))  # no download

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

@misc{lmod_cataract_1k,
  title  = { LMOD-Cataract-1K },
  note   = { mehti/LMOD-Cataract-1K. Hugging Face dataset, accessed 2026-07 },
  year   = { 2026 },
  url    = { https://huggingface.co/datasets/mehti/LMOD-Cataract-1K },
}

Plain text

mehti/LMOD-Cataract-1K. Hugging Face dataset, accessed 2026-07.

Source-stated terms

• Raw source string: CC BY 4.0
• 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.

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_cot: Cataract-1K Surgical Analysis Chain-of-Thought Dataset (2,256 images, mit)
• cataract1k: Cataract-1K: Large-Scale Cataract Surgery Video Dataset (1,000 videos, research-only)