105 docs tagged with "cc-by"

705 optic disc-centred fundus photographs (396 normal + 309 glaucoma) from Hospital Clinico San Carlos. Expert-annotated binary glaucoma classification.

One hundred retinal fundus images from Armed Forces Institute of Ophthalmology, Rawalpindi, with expert annotations for vessels and hypertensive retinopathy, diabetic retinopathy, and papilledema task

The first public AGAR300 release contains 28 color fundus images with microaneurysms, captured at a 45 degree field of view and 2448 by 3264 pixel resolution.

Two thousand preprocessed fundus images compiled from six public sources for normal, diabetes, cataract, and age-related macular degeneration classification.

Tabular anterior-segment and ocular-biometry measurements before and after SMILE surgery, including slit-lamp examination, Pentacam, and IOLMaster variables.

Retinal OCTA scans labeled for artifact type, artifact severity, signal strength, and image quality.

Small four-class eye-disease image dataset with normal, cataract, glaucoma, and retinal disease categories.

One thousand seven hundred eighty-six original color fundus images for diabetic retinopathy, age-related macular degeneration, and glaucoma grading/classification.

Longitudinal widefield fundus photographs from birdshot chorioretinitis eyes and age- and sex-matched controls.

Extended phase/time labels for the Cataract-101 surgical-video dataset.

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

Fundus photographs and segmentation masks for subretinal fluid in central serous chorioretinopathy, with healthy-eye classification controls.

1,345 fundus images captured across multiple camera manufacturers with OD/OC segmentation + glaucoma classification labels.

28 fundus images with manual vessel segmentations (two annotators).

Prospective tabular clinical dataset of 332 patients with chronic corneal disorders, including visual acuity, slit-lamp findings, comorbidities, diagnoses, treatments, and risk factors.

Composite fundus and OCT dataset with retinal layer, retinal lesion, and macular/glaucomatous disorder markings.

Swept-source OCT volumes for AMD and DME with three-dimensional pigment epithelial detachment and intraretinal-fluid masks.

100 infant eyes with 491 image pairs annotated with ground-truth control points and vessel masks. Enables pediatric / ROP-relevant fundus registration research.

Professional/extended CORN database with in-vivo confocal microscopy images of the corneal subbasal nerve plexus. Supports nerve fiber segmentation, image quality enhancement, and tortuosity grading (

Combined corneal confocal microscopy collection comprising CORN-1, CORN-2, CORN-3, CORN-1500, CORN-Pro, and CORN-Complex. The subsets support corneal-nerve and cell segmentation, image enhancement, to

Fundus photographs grouped for corneal curvature prediction, with 50 images per group.

Tabular keratoconus dataset with 77 eye-level rows and 60 variables describing visual acuity, contrast sensitivity, stage, and corneal elevation/shape parameters.

Orbscan corneal topography maps and structured clinical annotations for keratoconus detection.

187 cataract cases with color fundus images and paired professional cataract-grading diagnostic reports. Designed for medical multimodal-LLM evaluation.

Fifty OCT and fundus images with healthy/glaucomatous labels and cup-to-disc ratio annotations by ophthalmologists.

Fundus-image VQA dataset for diabetic macular edema derived from IDRiD and e-ophtha.

Extension of the DME VQA dataset with logical-relation consistency annotations.

174 OCTA images for DR lesion segmentation (IRMA, NPA, NV), image quality assessment, and DR grading (3-class).

External eye photographs curated from publicly available web sources for binary classification of referable blepharitis versus normal.

Five hundred forty-seven smartphone eye photographs with conjunctiva masks annotated independently by two annotators.

Original and augmented eye-disease image dataset covering retinitis pigmentosa, retinal detachment, pterygium, myopia, macular scar, glaucoma, disc edema, diabetic retinopathy, central serous choriore

Raw and processed eye-tracking data from glaucoma patients with asymmetrical visual-field loss during free viewing.

Visual-field data from glaucoma home monitoring: mean deviation, duration, and pointwise differential light sensitivity values across HFA and Eyecatcher tests.

Wide-field fundus images from premature infants for ROP staging (Stages 1–5 + Plus Disease). Expert-annotated for AI-assisted ROP diagnosis and screening.

A set of 2,246 fundus images with continuous mean opinion scores from 0 to 100, three quality grades, and the individual scores of six ophthalmologists.

800 high-resolution (2048x2048) fundus images with pixel-wise vessel segmentation. Covers normal, DR, AMD, glaucoma.

SD-OCT B-scans with bounding-box and polygon annotations for paracentral acute middle maculopathy lesions.

40 patients with paired pre-operative fundus images and intra-operative biomicroscopy video clips. Annotated for optic disc and vessel segmentation across domains.

Five-domain optic disc/cup segmentation benchmark composed from REFUGE, Drishti-GS, ORIGA, RIGA, and related sources.

1,099 pediatric fundus images from 483 premature infants annotated for retinopathy of prematurity (ROP) staging. Standard fundus (RetCam) — not ultra-widefield; `rop_uwf_intelligent` is retained as th

Seventy retinal image pairs with visible myopia development and manually annotated corresponding control points.

Fundus/UWF image-report dataset derived from DeepDRiD and OUWFD-style resources for report-generation research.

100 high-resolution color fundus images with pixel-wise artery / vein / crossing labels from a mixed disease cohort.

1020 fundus images with binary glaucoma labels (697 normal, 323 glaucoma), plus optic disc/cup annotations.

300 circumpapillary OCT images. RNFL/GCIPL/choroid layer segmentation plus binary glaucoma classification.

4,011 color fundus images labeled for high-myopia vs pathological-myopia classification — largest public dataset for HM/PM separation.

Extended HRF annotations for optic disc, cup, retinal vessels, and alpha/beta peripapillary zones.

45 high-resolution fundus images (healthy/DR/glaucoma) with manual vessel segmentation.

Phase-contrast microscopy fields of cultured human conjunctival goblet cells with semantic and instance-compatible masks.

516 fundus images with DR grade (0-4), macular edema grade (0-2), and pixel-level lesion segmentation for 81 images.

Image and symptom dataset for normal, uveitis, conjunctivitis, cataract, and eyelid-drooping classification, with source-reported SMOTE balancing to 649 images per class.

Retinal fundus dataset for five-class diabetic-retinopathy grading.

9,939 color fundus images from Japanese patients with DR grading labels (Davis grading scale).

Small corneal confocal fluorescence imaging dataset for keratoconus epithelium analysis.

~84,000 retinal OCT B-scan images across 4 classes: CNV, DME, DRUSEN, NORMAL. Train: ~83,484 / Test: 1000.

Text/tabular dataset supporting readability and language-access analyses in ophthalmology.

Light-adapted electroretinogram and oscillatory-potential waveform dataset from 253 pediatric participants, with structured JSON, tabular metadata, and electrode-position eye images.

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

Anonymized retinal fundus images from an ophthalmology clinic in M'Sila, Algeria for diabetic-retinopathy classification.

198 fundus images (from MESSIDOR) with pixel-wise segmentation for 10 biomarkers (lesions + structures) + DR and ME severity grades.

~30,000 longitudinal OCT B-scans across multiple patient visits, annotated for AMD change detection and progression monitoring.

6,272 AS-OCT images + 392 anterior-segment photographs for corneal opacity assessment with expert grading. First large public multimodal AS-OCT + photo dataset for cornea.

Multi-modal DR dataset combining color fundus photographs (CFP), OCT B-scans, and ultra-widefield (UWF) fundus images, annotated for DR detection and severity grading. Published in Nature Scientific D

Pentacam-derived corneal tomography variables for intraocular-lens and corneal subtype modeling.

Multi-source heterogeneous retinal fundus image-quality assessment dataset for training and evaluating quality-control models.

A multicenter collection of 186 minimally invasive glaucoma surgery (MIGS) videos with annotations for surgical-phase recognition and semantic segmentation of instruments and anatomical structures.

1,693 color and 1,739 infrared ocular-surface images from five clinical centers with pixel-level tear-meniscus segmentation. First multi-center dry-eye imaging benchmark.

2,208 color fundus images with 20-class multi-label disease annotations.

Public sample fundus photographs and measurements for modeling myopic regression after corneal refractive surgery.

Retinal OCT B-scans from Noor Eye Hospital for classification of Normal, Drusen, and CNV (choroidal neovascularisation) cases. 16,822 B-scans from 441 eyes (Normal 120 / Drusen 160 / CNV 161 eyes).

A derived OCT angiography resource with 640 coronal PNG views for each of 129 subjects: 90 normal, 29 diabetic retinopathy, 5 AMD, and 5 choroidal neovascularization cases.

2,000+ OCT images labeled for 7 conditions: AMD, DME, ERM, NO (normal), RAO, RVO, VID.

16,530 ultra-widefield fundus images from 8,405+ patients (age 0–90) annotated for 38 ophthalmic diseases and 67 fundus features. Released alongside the FairerOPTH study on sexism and ageism in ophtha

Longitudinal OCT + fundus dataset from AMD/DME patients across multiple clinical visits. 9,408 OCT B-scans have biomarker labels for 8 categories (fluid, drusen, scarring, PED variants, etc.); 78,000+

700 Optos ultra-wide-field fundus images with multi-disease classification labels and image-quality flags from real-world clinical practice.

Cropped periorbital images with multi-structure masks for the iris, sclera, eyelid, caruncle, and eyebrow.

Russian-English ophthalmology sentence-pair and glossary dataset for translation and LLM evaluation.

Ophthalmic visual question-answering benchmark dataset released as supplementary data for evaluating multimodal language models in ophthalmology.

Ophthalmology-oriented WeChat article metadata and image-link dataset for visual question answering and multimodal language-model evaluation.

High-resolution swept-source OCT images and mechanical-model data for outer retinal corrugations in rhegmatogenous retinal detachment.

488 fundus images from 244 patients (both eyes). Expert OD/OC segmentation, glaucoma stage, IOP, and clinical metadata.

757 color fundus images from a Paraguayan cohort with 7-class DR grading labels. Adds Latin-American representation.

Fourteen thousand nine hundred seventy-six near-infrared ocular images for eye-state detection and coarse gaze-direction classification during ophthalmic measurement workflows.

15 ultra-widefield (Optos) fundus images with pixel-level vessel segmentation ground truth.

Fundus-photography dataset for retinal artery occlusion diagnosis, based on web-derived public data and public fundus datasets.

Retinal vessel analysis benchmark with vessel masks, artery/vein masks and skeletons, bifurcation points, vascular trees, and abnormality annotations.

6,004 pediatric RetCam fundus images from 188 newborns in Ostrava (Czech Republic), annotated for retinopathy of prematurity (ROP) screening + classification.

Auxiliary RFMiD 2.0 retinal fundus dataset spanning 51 disease categories.

RIGA/MESSIDOR-derived benchmark for optic disc and cup segmentation domain adaptation.

485 fundus images (313 normal, 172 glaucoma) with optic disc region of interest crops for deep learning.

229 OCTA images (ROSE-1 + ROSE-2) with pixel-level retinal vessel segmentation ground truth.

3,012 OCT B-scans from 146 eyes / 130 patients with retinal vein occlusion. Dual-task labels: fluid segmentation + retinal-layer segmentation. Detection of macular lesions.

Longitudinal OCT angiography projection maps with vessel labels, clinical text, and treatment/follow-up groupings.

1,219 color fundus images with DR severity grading + pixel-level exudate segmentation masks. Multi-center (SUSTech + Sun Yat-sen University).

Synthetic circumpapillary OCT images for healthy and glaucomatous eyes with retinal-layer masks and RNFL thickness values.

Retinopathy-of-prematurity fundus-image dataset and synthetic-image resources for privacy-preserving AI training.

External ocular photographs of thyroid eye disease collected from web sources, with surgery-related images removed by the source curator.

10 Heidelberg Spectralis SD-OCT volumes (510 B-scans, 496×644×51 voxels) from healthy subjects with 8 retinal layer boundary annotations by 2 independent observers. MATLAB .mat format; used as the OCT

Fundus photographs for ocular toxoplasmosis detection: active toxoplasmosis, inactive (scarred) lesions, and normal. ~412 images total (adult + pediatric cases).

Portable fundus images and segmentations for retinal microvascular network analysis.

Extension of TREND portable fundus imaging for chronic-disease and microvascular analysis.

1,630 Optos ultra-wide-field fundus images from 809 patients graded for diabetic retinopathy (5-class ICDR) by senior ophthalmologists.

2,031 ultra-widefield fundus images for AI-assisted intraocular tumor detection and classification. Six categories: Normal, Choroidal Hemangioma (CH), Retinal Capillary Hemangioma (RCH), Choroidal Ost

28,943 HFA 24-2 visual field tests with per-point sensitivities, MD/PSD indices, glaucoma labels, and longitudinal follow-up data. Input: 52-element sensitivity array (not an image).

Visual-field and psychophysics experiment data for scotoma-detection comparisons.