37 docs tagged with "grading"

3662 fundus images from Aravind Eye Hospital, graded 0-4 for diabetic retinopathy severity.

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

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

35,126 fundus images for 5-class diabetic retinopathy grading (No DR: 25,810 / Mild: 2,443 / Moderate: 5,292 / Severe: 873 / Proliferative: 708). Available via Kaggle.

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

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 (

1,500 in-vivo confocal microscopy images of corneal subbasal nerve plexus, graded for tortuosity (4 levels). Train: 1,200 / Test: 300. 384×384 px, 400×400 µm FOV.

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

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.

12522 fundus images with DR grading (0-5) and lesion-level segmentation annotations.

2,000 regular fundus images (500 patients × 2 fields × 2 eyes) plus 256 ultra-widefield fundus images labeled for DR severity (ICDR grades 0-4) and image quality assessment (gradable/ungradable). From

35,126 fundus images organised for 5-class DR severity grading (ICDR grades 0-4): No DR 25,810 / Mild 2,443 / Moderate 5,292 / Severe 873 / Proliferative 708. Hosted on Alibaba Tianchi.

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

3,100 paired two-field fundus images with DR grading labels. Only public two-field paired DR benchmark.

~88,000 fundus images graded 0–4 for DR severity. Largest public DR dataset; competition images from EyePACS clinics.

Quality labels for 28,792 EyePACS fundus images, graded as good, usable, or reject and divided into the original EyePACS train and test partitions.

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.

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

300 paired fundus + 3D OCT volumes. Glaucoma grading into Normal / Early / Advanced plus OD/OC segmentation and fovea location.

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

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

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

Composite multimodal ophthalmology benchmark with multi-granular anatomical, diagnostic, staging, demographic, and text annotations.

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.

5,164 fundus images from 1,291 patients captured with the Phelcom Eyer handheld smartphone-based fundus camera. Labels for DR grading + clinical/demographic prediction.

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.

1748 fundus images with DR grading (0-3 Retinopathy Grade) and macular edema risk (0-2).

34,452 fundus images from 4,344 patients across multiple fields per eye, with DR screening labels. Largest public four-field DR dataset.

One thousand infrared meibography images with meibomian-gland masks, eyelid masks, and six rounds of expert meiboscore grading.

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

Linked color fundus and macular OCT images for diabetic macular edema and diabetic retinopathy classification, with CSV labels and shared patient/eye/image nomenclature.

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

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

Ultra-widefield fundus photographs for diabetic retinopathy grading (5-level ICDR scale). Released alongside the Reasoning-Enhanced VLM paper for interpretable UWF DR detection. Related to the UWF4DR

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