Image-level conjunctival observations with anemia target from Human conjunctiva images from Ghana used for iron-deficiency-anemia detection.
The 8,697-image fungal-keratitis dataset has explicit classification and segmentation splits and is directly usable for translational corneal imaging.
Human/derived image or image-annotation observations. from Human ocular anterior-segment images gathered from public web sources; source-level provenance remains limited.
Image-level conjunctival-pallor observations with anemia-related target from Conjunctival photographs of children aged 6-59 months presenting at assigned Ghanaian health facilities.
Pediatric external-eye photographs with gaze-view annotations, corneal masks, eyelid/eyelash-line keypoints, and clinical tabular parameters for astigmatism-related research.
Official Dryad deposit of source-described iris biometric data for the associated study.
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.
~102K VQA pairs derived from 58,485 images across 8 ophthalmic modalities (fluorescein angiography, ICGA, OCT, CFP, ultrasound biomicroscopy, slit-lamp, fundus auto-fluorescence, CT) covering 100+ dis
Image and symptom dataset for normal, uveitis, conjunctivitis, cataract, and eyelid-drooping classification, with source-reported SMOTE balancing to 649 images per class.
Individual human iris-feature records are directly reusable for iris biometrics and phenotype classification.
Composite multimodal ophthalmology benchmark with multi-granular anatomical, diagnostic, staging, demographic, and text annotations.
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.
One thousand infrared meibography images with meibomian-gland masks, eyelid masks, and six rounds of expert meiboscore grading.
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.
Observation-level source data, annotations, or signals. from Source describes clinical slit-lamp images for nuclear cataract classification.
Human/derived image or image-annotation observations. from Human ocular-neoplasm cases are indicated by clinical and histopathology images.
Cropped periorbital images with multi-structure masks for the iris, sclera, eyelid, caruncle, and eyebrow.
Ophthalmic visual question-answering benchmark dataset released as supplementary data for evaluating multimodal language models in ophthalmology.
Fourteen thousand nine hundred seventy-six near-infrared ocular images for eye-state detection and coarse gaze-direction classification during ophthalmic measurement workflows.
Slit-lamp photographs with expert epiphora-severity labels.
~2,617 annotated slit-lamp frames covering anterior-segment anatomy + multi-lesion detection (cataract, corneal disease, conjunctivitis).
Anonymized slit-lamp photographs with English clinical annotations and vision-language conversations.
Human corneal-ulcer clinical images and labels.
External ocular photographs of thyroid eye disease collected from web sources, with surgery-related images removed by the source curator.
The version-pinned public deposit contains 18,735 ophthalmic image-text benchmark rows across CFP, external-eye, FFA, OCT, and RetCam subsets.