Fundus datasets
140 datasets; 129 with a primary reported quantity; 1147.6 GB total - this page indexes every EyeDataHub resource tagged as containing fundus data. A resource can appear on more than one modality page. Primary quantities retain their source-reported units and are not summed here.
| Name | Full name | Primary quantity | Size | License | Backend |
|---|---|---|---|---|---|
airogs | AIROGS: AI for Robust Glaucoma Screening | 113,893 images | 40.0 GB | cc-by-nc-nd | Direct HTTP |
multieye | MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark | 103,959 images | 27.3 GB | mit | HuggingFace Hub |
eyecare_100k | Eyecare-100K: Multimodal Ophthalmology VQA Corpus | 102,000 question answer pairs | 30.0 GB | unknown | HuggingFace Hub |
justraigs | JustRAIGS: Just Referral AI Glaucoma Screening Dataset | 101,442 images | 100.0 GB | cc-by-nc-nd | Zenodo |
eyepacs | EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) | 88,702 images | 89.0 GB | research-only | Kaggle |
angioreport | AngioReport Fundus Angiography Report Dataset | 55,361 images | Not reported | unknown | Manual (upstream-gated) |
ffa_ir | FFA-IR Medical Report Dataset | 47,247 images | Not reported | unknown | PhysioNet |
mfiddr | MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy | 34,452 images | 30.0 GB | mit | Manual (upstream-gated) |
lmod_plus | LMOD+ Multimodal Ophthalmology Benchmark | 32,633 annotated instances | Not reported | unknown | Manual (upstream-gated) |
harvard_fairvision | Harvard-FairVision (AMD + DR + Glaucoma, paired SLO + OCT) | 30,000 participants | 600.0 GB | cc-by-nc-nd | Manual (upstream-gated) |
higancnn_generated_glaucoma | HiGANCNN Generated Glaucoma Dataset | 30,000 images | Not reported | unknown | Kaggle |
eyeq | EyeQ Retinal Image Quality Assessment Dataset | 28,792 images | Not reported | unknown | GitHub |
mmrdr | MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset | 24,460 images | 18.6 GB | cc-by | Figshare |
x_pcr | X-PCR Ophthalmology Progressive Clinical Reasoning Benchmark | 18,735 rows | 5.0 GB | unknown | HuggingFace Hub |
brset | BRSET: Brazilian Multilabel Ophthalmological Dataset | 16,266 images | 9.0 GB | research-only | PhysioNet |
deepeyenet | DeepEyeNet (DEN): Fundus Report Generation Dataset | 15,709 images | 5.0 GB | research-only | Manual (upstream-gated) |
aod | AOD: Augmented Ocular Diseases Dataset | 14,813 images | 2.0 GB | unknown | Kaggle |
dme_vqa | Diabetic Macular Edema Visual Question Answering Dataset | 13,470 question answer pairs | 0.1 GB | cc-by | Zenodo |
dme_vqa_logical | DME VQA Dataset with Logical Relations | 13,470 question answer pairs | 0.1 GB | cc-by | Zenodo |
retinal_vessel_robustness | Natural Robustness Benchmark for Retinal Vessel Segmentation | 13,024 images | 8.2 GB | mit | Zenodo |
ddr | DDR: Diabetic Retinopathy Detection & Grading | 12,522 images | 4.0 GB | mit | Google Drive |
smdg | SMDG-19: Standardized Multi-channel Glaucoma Benchmark | 12,449 images | 5.0 GB | cc0 | Kaggle |
lag | LAG: Large-scale Attention-based Glaucoma Database | 11,760 images | 3.0 GB | research-only | Manual (upstream-gated) |
fairvlmed | FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset | 10,000 images | 10.0 GB | cc-by-nc-nd | HuggingFace Hub |
jichi | Jichi Medical University Diabetic Retinopathy Dataset | 9,939 images | 10.0 GB | cc-by | Figshare |
retina_age_analysis | Retina Age Analysis | 9,857 images | 1.0 GB | mit | HuggingFace Hub |
olives | OLIVES: Ophthalmic Labels for Investigating Visual Eye Semantics | 9,408 b scans | 20.0 GB | cc-by | Zenodo |
odir2019 | ODIR-2019: Ocular Disease Intelligent Recognition | 8,000 participants | 3.5 GB | cc-by-sa | Kaggle |
rop_ostrava | Retinal Image Dataset of Infants and ROP (Ostrava) | 6,004 images | 5.0 GB | cc-by | Kaggle |
rop_synthetic_mendeley | Synthetic Medical Images for ROP Diagnosis | 5,842 images | 2.0 GB | cc-by | Mendeley Data |
china_fundus_cimt | China Fundus and Carotid Intima-Media Thickness Dataset | 5,806 images | Not reported | cc-by | Figshare |
eye_disease_image_mendeley | Eye Disease Image Dataset | 5,335 images | 1.5 GB | cc-by | Mendeley Data |
mbrset | mBRSET: Mobile Brazilian Retinal Dataset | 5,164 images | 3.0 GB | research-only | PhysioNet |
hpmi | HPMI: High & Pathological Myopia Identification | 4,011 images | 2.0 GB | cc-by | Figshare |
vietai_retinal_disease | VietAI Retinal Disease Detection 2020 | 3,785 images | Not reported | unknown | Kaggle |
aptos2019 | APTOS 2019 Blindness Detection | 3,662 images | 9.0 GB | unknown | Kaggle |
fd3611 | FD3611 Multi-Class Color Fundus Image Dataset | 3,611 images | Not reported | cc-by | Figshare |
fprm_retina | FPRM Multimodal Eye Imaging and Psychological Assessment Dataset | 3,361 images | Not reported | research-only | Manual (upstream-gated) |
rfmid | RFMiD: Retinal Fundus Multi-disease Image Dataset | 3,200 images | 1.5 GB | cc-by-sa | Kaggle |
drtid | DRTiD: Diabetic Retinopathy Two-field Image Dataset | 3,100 images | 3.0 GB | research-only | Manual (upstream-gated) |
binocular_fundus_images | Binocular Fundus Image Dataset | 2,885 image pairs | Not reported | cc-by | Figshare |
oct_fundus_dme_dr_mexico | OCT and Eye Fundus Dataset for DME and DR | 2,661 images | 0.5 GB | unknown | GitHub |
deepdrid | DeepDRiD: Diabetic Retinopathy Grading and Image Quality Dataset | 2,256 images | 3.0 GB | cc-by-sa | Zenodo |
fiqs | FIQS: Fundus Image Quality Scores Dataset | 2,246 images | 9.1 GB | cc-by | Figshare |
mured | MuReD: Multi-label Retinal Diseases Dataset | 2,208 images | 2.0 GB | cc-by | Mendeley Data |
rop_vl | ROP-VL Retinopathy of Prematurity Vision-Language Dataset | 2,020 images | Not reported | cc-by | Figshare |
refuge2 | REFUGE2 — Retinal Fundus Glaucoma Challenge 2 | 2,000 images | 1.2 GB | research-only | Google Drive |
amdnet23 | AMDNet23 Fundus Image Dataset for AMD Detection | 2,000 images | Not reported | cc-by | Mendeley Data |
brasil_glaucoma_brg | Brazil Glaucoma (BrG) Dataset | 2,000 images | Not reported | cc-by-nc | Kaggle |
bmrd | Bangladesh Multi-Disease Retinal Dataset | 1,786 images | Not reported | cc-by | Mendeley Data |
messidor2 | MESSIDOR-2 | 1,748 images | 3.0 GB | research-only | Manual (upstream-gated) |
hyamd | HYAMD High-Resolution Fundus Image Dataset for AMD Diagnosis | 1,560 images | Not reported | unknown | PhysioNet |
farfum_rop | FARFUM-ROP: Fundus Annotation Repository for Retinopathy of Prematurity | 1,533 images | 1.0 GB | cc-by | Figshare |
riga_plus | RIGA+ Domain Adaptation Dataset | 1,461 images | Not reported | cc-by | Zenodo |
fundus_domain_generalization | Fundus Dataset for Domain Generalization in Optic Disc/Cup Segmentation | 1,441 images | 0.6 GB | cc-by | Zenodo |
chaksu | CHAKSU: Multi-Device Glaucoma Fundus Dataset | 1,345 images | 5.0 GB | cc-by | Figshare |
msila_fundus_dr | M'Sila Retinal Fundus Dataset for Diabetic Retinopathy Classification | 1,335 images | 1.5 GB | cc-by | Zenodo |
mshf | Multi-Source Heterogeneous Fundus Dataset for Image Quality Assessment | 1,302 images | 1.1 GB | cc-by | Figshare |
mendeley_multi_class_retinal_fundus_image_deep | A Multi-Class Retinal Fundus Image Dataset for Deep Learning-Based Ocular Disease Diagnosis | 1,222 images | Not reported | cc-by | Mendeley Data |
sustech_sysu | SUSTech-SYSU Diabetic Retinopathy + Exudate Dataset | 1,219 images | 3.0 GB | cc-by | Figshare |
palm | PALM — iChallenge Pathologic Myopia | 1,200 images | 1.5 GB | research-only | Google Drive |
adam_challenge | ADAM — Automatic Detection of AMD Challenge | 1,200 images | 1.5 GB | research-only | Google Drive |
refuge1_multirater | REFUGE Multi-Rater — Glaucoma with Multi-Expert Annotations | 1,200 images | 0.8 GB | cc-by-nc-sa | Google Drive |
grape | GRAPE: Glaucoma Real-world Appraisal Progression Ensemble | 1,115 examinations | 1.5 GB | cc0 | Figshare |
retinal_dr_longitudinal | Retinal DR Longitudinal Fundus Pairs | 1,115 image pairs | 4.0 GB | unknown | HuggingFace Hub |
rop_uwf_intelligent | Fundus Dataset for Intelligent ROP System | 1,099 images | 4.0 GB | cc-by | Figshare |
glaucoma_expert_cot_refined | Glaucoma Expert Chain-of-Thought Refined Dataset | 1,074 image report pairs | Not reported | unknown | HuggingFace Hub |
g1020 | G1020: Glaucoma Benchmark Fundus Dataset | 1,020 images | 2.0 GB | cc-by | Kaggle |
harvard_glaucoma | Harvard Glaucoma Fundus Image Dataset | 1,000 images | 1.5 GB | cc0 | Direct HTTP |
jsiec | JSIEC Fundus Photo Dataset | 1,000 images | 0.4 GB | unknown | Zenodo |
rfmid2 | RFMiD 2.0 Auxiliary Multi-Disease Fundus Dataset | 860 images | 0.5 GB | cc-by | Zenodo |
fives | FIVES: Fundus Image Vessel Segmentation | 800 images | 1.1 GB | cc-by | Figshare |
paraguay_dr | Paraguay Color Fundus DR Dataset | 757 images | 0.5 GB | cc-by | Zenodo |
riga | RIGA: Retinal Fundus Images for Glaucoma Analysis | 750 images | 2.0 GB | cc-by-nc | Direct HTTP |
hygd | HYGD: Hillel Yaffe Glaucoma Dataset | 747 images | 1.0 GB | odc-by | PhysioNet |
acrima | ACRIMA: Glaucoma Optic Disc Fundus Database | 705 images | 0.5 GB | cc-by | Figshare |
irfdrd | Iraqi Retinal Fundus Diabetic Retinopathy Dataset | 700 images | Not reported | cc-by | Zenodo |
pco_namd | PCO-nAMD Paired CFP and OCT Dataset | 654 image pairs | Not reported | cc-by | Figshare |
beh | BEH: Bangladesh Eye Hospital Glaucoma Dataset | 634 images | 0.3 GB | research-only | Google Drive |
cataract | Cataract Fundus Classification Dataset | 601 images | 0.1 GB | unknown | Kaggle |
ophthalvqa | OphthalVQA Dataset | 600 question answer pairs | 0.0 GB | cc-by | Figshare |
idrid | IDRiD: Indian Diabetic Retinopathy Image Dataset | 516 images | 2.5 GB | cc-by | Manual (upstream-gated) |
aptos_arcade_onh_masks | APTOS Vascular Arcade and Optic Nerve Head Masks | 500 images | 0.1 GB | apache | Zenodo |
coph100 | COph100: Comprehensive Infant Fundus Image Registration Dataset (RIDIRP) | 491 image pairs | 1.0 GB | cc-by | Figshare |
papila | PAPILA: Glaucoma Fundus Dataset with Clinical Data | 488 images | 0.4 GB | cc-by | Direct HTTP |
rimone_dl | RIM-ONE DL | 485 images | 0.5 GB | cc-by | Kaggle |
e_ophtha | E-ophtha (EX + MA): Exudate and Microaneurysm Segmentation | 463 images | 1.0 GB | research-only | Kaggle |
fundus_report_dataset | Fundus Report Dataset | 422 image report pairs | 0.5 GB | cc-by | HuggingFace Hub |
toxofundus | ToxoFundus: Ocular Toxoplasmosis Fundus Dataset | 412 images | 0.2 GB | cc-by | Kaggle |
ichallenge_amd | iChallenge-AMD: Age-related Macular Degeneration | 400 images | 1.5 GB | research-only | Manual (upstream-gated) |
paired_retina | Paired Retina Dataset: Cross-Device Fundus Pairs | 399 images | 3.0 GB | unknown | HuggingFace Hub |
myopic_regression_fundus | Myopic Regression after Corneal Refractive Surgery Fundus Sample | 330 images | 0.2 GB | cc-by | Mendeley Data |
gamma | GAMMA — Glaucoma Grading from Multi-Modality Images | 300 volumes | 5.0 GB | cc-by-nc-nd | Google Drive |
bajwa_multi_eye | Bajwa Hospital Multi Eye Disease Dataset | 300 images | 0.2 GB | cc-by | Mendeley Data |
csc_fundus_segmentation | Central Serous Chorioretinopathy Fundus Segmentation Dataset | 287 images | 0.5 GB | cc-by | Mendeley Data |
maples_dr | MAPLES-DR: Montreal Annotation Project for DR | 198 images | 0.5 GB | cc-by | Figshare |
csdi | CSDI: Cataract Severity Diagnostic Image Dataset | 187 images | 1.0 GB | cc-by | HuggingFace Hub |
hei_med | HEI-MED: Hamilton Eye Institute Macular Edema Dataset | 169 images | 0.3 GB | research-only | GitHub |
corneal_curvature_fundus | Corneal Curvature Prediction Using Fundus Photography | 150 images | 0.1 GB | cc-by | Mendeley Data |
mm_retinal_reason | MM-Retinal-Reason: Ophthalmology Multimodal Reasoning Dataset | 130 question answer pairs | 15.0 GB | unknown | HuggingFace Hub |
fire | FIRE: Fundus Image Registration Dataset | 129 images | 1.0 GB | research-only | Direct HTTP |
jrc_multimodal_vessels | JRC Multi-Modal Retinal Vessel Segmentation | 120 images | Not reported | unknown | Manual (upstream-gated) |
real_fundus | Real Fundus Clinical Image Restoration Benchmark | 120 image pairs | 1.0 GB | unknown | Manual (upstream-gated) |
ut_fsocta | UTHealth Fundus and Synthetic OCTA Dataset | 112 participants | Not reported | unknown | Zenodo |
drions_db | DRIONS-DB: Digital Retinal Images for Optic Nerve Segmentation | 110 images | 0.2 GB | research-only | Direct HTTP |
drishti_gs | DRISHTI-GS: Optic Disc and Cup Segmentation | 101 images | 0.8 GB | research-only | Kaggle |
fundus_avseg | Fundus-AVSeg: Artery-Vein-Crossing Segmentation | 100 images | 0.5 GB | cc-by | Figshare |
roc | ROC: Retinopathy Online Challenge | 100 images | 0.3 GB | research-only | Manual (upstream-gated) |
afio_fundus_vessels | AFIO Fundus Images for Vessel Segmentation and Disease Annotation | 100 images | 0.2 GB | cc-by | Mendeley Data |
mendeley_retina_identification_database_ridb | Retina Identification Database (RIDB) | 100 images | Not reported | cc-by | Mendeley Data |
trend_fundus | TREND Portable Fundus Microvascular Network Dataset | 82 images | 0.1 GB | cc-by | Zenodo |
reta_benchmark | RETA Benchmark for Retinal Vascular Tree Analysis | 81 images | 0.8 GB | cc-by | Figshare |
dryad_diabetes_retinal_capillary | Diabetes Retinal Capillary Rarefaction Dataset | 73 participants | 0.0 GB | cc0 | Dryad |
fimd | Fundus Image Myopia Development Dataset | 70 image pairs | 0.2 GB | cc-by | Mendeley Data |
puwf_av | PUWF-AV Pediatric Ultra-Widefield Fundus Artery-Vein Dataset | 60 images | Not reported | cc-by | Figshare |
data_oct_fundus_glaucoma | Data on OCT and Fundus Images | 50 images | 0.1 GB | cc-by | Mendeley Data |
dridb | DRiDB: Diabetic Retinopathy Image Database | 50 images | Not reported | research-only | Manual (upstream-gated) |
hrf | HRF: High-Resolution Fundus Image Database | 45 images | 0.5 GB | cc-by | Manual (upstream-gated) |
hrf_seg_plus | HRF-Seg+: Multi-Structure Fundus Annotations | 45 images | 0.0 GB | cc-by | Zenodo |
ravir | RAVIR: Retinal Artery/Vein Segmentation in IR | 42 images | 0.1 GB | research-only | Google Drive |
fovea | FOVEA: Pre/Intra-Operative Fundus + Biomicroscopy | 40 participants | 4.0 GB | cc-by | Figshare |
rite | RITE: Retinal Images Vessel Tree Extraction (Artery/Vein) | 40 images | 0.1 GB | research-only | Manual (upstream-gated) |
rbad | RBAD Retinal Branching-Angle Detection Benchmark | 40 images | Not reported | research-only | GitHub |
drive | DRIVE: Digital Retinal Images for Vessel Extraction | 40 images | Not reported | unknown | Manual (upstream-gated) |
chase_db1 | CHASE_DB1: Child Heart and Health Study in England | 28 images | 0.1 GB | cc-by | Manual (upstream-gated) |
trend2_fundus | TREND2 Chronic Disease Portable Fundus Dataset | 28 images | 0.1 GB | cc-by | Zenodo |
agar300 | AGAR300 Microaneurysm Fundus Image Dataset | 28 images | Not reported | cc-by | Manual (upstream-gated) |
stare | STARE: Structured Analysis of the Retina | 20 images | 0.0 GB | research-only | Direct HTTP |
mendeley_two_photon_excited_fluorescence_scanning_laser | Two-photon excited fluorescence scanning laser ophthalmoscopy images and software for data processing | 1 participants | Not reported | cc-by | Mendeley Data |
hassan_composite_retina | Composite Retinal Fundus and OCT Dataset with Clinical Markings | Not reported | 2.0 GB | cc-by | Mendeley Data |
rao_fundus | RAO Retinal Artery Occlusion Fundus Photography Dataset | Not reported | Not reported | cc-by | Mendeley Data |
glaucoma_oct_fundus | Glaucoma Detection Dataset with OCT and Fundus Images | Not reported | Not reported | cc-by | Figshare |
mendeley_red_lesion_localization_messidor_retinal_images | Red lesion localization for MESSIDOR retinal images dataset using patch-based convolutional neural networks. | Not reported | Not reported | cc-by | Mendeley Data |
mendeley_annotated_infant_fundus_images_object_detection | Annotated Infant Fundus Images for Object Detection of Key Structures (Optic Disk and Macula) | Not reported | Not reported | cc-by | Mendeley Data |
mendeley_development_deep_learning_model_epiretinal_membrane | Development of a deep learning model for epiretinal membrane detection in fundus photography | Not reported | Not reported | cc-by | Manual (upstream-gated) |
mendeley_retinal_blood_vessel_segmentation_rop | Retinal blood vessel segmentation(ROP) | Not reported | Not reported | cc-by | Mendeley Data |
mendeley_dme_classification_fundus_imaging_vision_transformers | DME Classification in Fundus Imaging with Vision Transformers and ETDRS-Guided Annotation | Not reported | Not reported | cc-by | Mendeley Data |
mendeley_fundus_mctn | Fundus dataset of MCTN | Not reported | Not reported | cc-by | Mendeley Data |
mendeley_hvdropdb_datasets_classification_segmentation_research_retinopathy | HVDROPDB Datasets for Classification and Segmentation for Research in Retinopathy of Prematurity, Ranjana Agrawal | Not reported | Not reported | cc-by | Mendeley Data |
dryad_fundus_venous_pulsation | Fundus Venous Pulsation Sequence Dataset | Not reported | 0.1 GB | cc0 | Dryad |