E-ophtha (EX + MA): Exudate and Microaneurysm Segmentation

463 color fundus images with pixel-level segmentation: 82 with exudate (EX) + 381 with microaneurysm (MA) annotations. Standard DR lesion-segmentation benchmark.

At a glance

Field	Value
Short name	e_ophtha
Full name	E-ophtha (EX + MA): Exudate and Microaneurysm Segmentation
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	fundus
Resource role	current_dataset
Dataset family	e_ophtha
Contained modalities	fundus
Tasks	segmentation
Primary reported quantity	463 images
Classes	2 (Not reported)
Splits	all
Size	1.0 GB
Source-stated terms	Research only (TeleOphta project; Kaggle mirror)
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	controlled_or_manual
Route backend	Kaggle
Availability	available (checked 2026-07-21)
Acquisition support	manual_access_blocked
Legacy sample-loader status	Metadata and access only

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	463	images	Primary quantity reported in the reviewed catalog source	legacy_catalog_field	kaggle.com/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

Official source (ADCIS) requires a request form. EyeDataHub uses the Kaggle community mirror. Verify license terms with the original ADCIS distribution before commercial use.

Documented relationships

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

• dme_vqa is derived from this record: The DME VQA deposit identifies e-ophtha images as source material. (evidence)
• mm_retinal_reason is derived from this record: The version-pinned official dataset card lists this record among the CFP or OCT sources used to construct MM-Retinal-Reason. (evidence)

Access information and download

CLI

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

Python

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

ds = REGISTRY.get_dataset('e_ophtha')
print(preflight_dataset(ds, './data'))  # returns manual_access_blocked

Upstream page: kaggle.com/datasets

Source-term evidence: kaggle.com/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{e_ophtha,
  title  = { E-ophtha (EX + MA): Exudate and Microaneurysm Segmentation },
  note   = { Decencière et al., 'TeleOphta: Machine Learning and Image Processing Methods for Teleophthalmology', IRBM 2013 },
  year   = { 2013 },
  url    = { https://www.kaggle.com/datasets/samriddhibagchi/e-ophtha-diabetic-retinopathy-datasets-ex-ma },
}

Plain text

Decencière et al., 'TeleOphta: Machine Learning and Image Processing Methods for Teleophthalmology', IRBM 2013.

Source-stated terms

• Raw source string: Research only (TeleOphta project; Kaggle mirror)
• Normalized category: research-only
• Apparent scope: dataset_files
• 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.

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