datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
glaucoma-expert-cot-final
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
glaucoma / not
train.jsonl
823
304 / 519
val.jsonl
92
46 / 46
test.jsonl
159
79 / 80
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train",
"final_diagnosis_GT":… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-final.Glaucoma_Dataset
Glaucoma Dataset
Dataset Summary
The Glaucoma Dataset is a comprehensive collection of retinal fundus images designed for the automated detection and classification of glaucoma. Containing between 10,000 and 100,000 high-quality images, this dataset aims to support the development and evaluation of machine learning and deep learning models in the field of ophthalmic medical imaging.
The dataset is organized using the standard imagefolder format, making it highly… See the full description on the dataset page: https://huggingface.co/datasets/Nj-1111/Glaucoma_Dataset.glaucoma-expert-cot-raw-1077
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
split
expert_cot_trainval.jsonl
915
train (823) + val (92)
expert_cot_test.jsonl
159
test
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train"… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-raw-1077.glaucoma-images-dataset-v2MICCAI_FLARE_glaucomaharvard-oct-glaucoma-200
Harvard-GF 200^3 consolidated dataset
Canonical raw 200^3 Harvard-GF OCT volumes as consolidated .npy (uint8),
split-matched with the 96^3/128^3 convenience copies.
Source: harvardairobotics/Harvard-GF (per-scan .npz[oct_bscans]), IEEE TMI 2024 (Luo et al.)
store_shape: [1, 200, 200, 200] uint8 | source_shape: [200, 200, 200] | antialias: n/a (raw)
Splits (volumes, pos=glaucoma):
Training: 2100 (pos 1083 / neg 1017)
Validation: 300 (pos 176 / neg 124)
Test: 900 (pos 489 / neg… See the full description on the dataset page: https://huggingface.co/datasets/tqhuyen/harvard-oct-glaucoma-200.glaucoma-detection
Glaucoma Detection
Retinal fundus images for glaucoma stage classification.
Splits
Split
Samples
train
2847
validation
1259
test
1272
Columns
image: retinal image
class: glaucoma stage label
Classes
Class
Description
normal
No glaucoma visible in the image.
early
Early-stage glaucoma findings.
advanced
Advanced glaucoma findings.
harvard-oct-glaucoma-200-bilateral-96
Bilateral 96-cubed storage (96^3)
Derived from tqhuyen/harvard-oct-glaucoma-200-bilateral (revision 47632c96b206707fd6423ee5b4da159069f63eaf) by resizing only the 3D volumes to 96^3.
Resize: float32 /255, trilinear align_corners=False, round and clip back to uint8.
2D en-face views are NOT included and must be projected from the 200-cubed source.
Private derivative; respect the upstream dataset terms.
glaucoma_diagnosis_json_analysisOCT_And_Fundus_Glaucoma_Dataset
Data on OCT and Fundus Images
Dataset Description
This dataset is a copy of Data on OCT and Fundus Images which is shared with the license CC BY 4.0.
This dataset contains 50 samples under its train split. The dataset includes image data.
Splits
train: 50 samples
Data Fields
The dataset includes the following columns:
Image_Name: String data
Opt_1, Opt_2, Opt_3, and Opt_4: Struct/Dict data with two fields:
CDR: Float64 data
Glaucoma: String data… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/OCT_And_Fundus_Glaucoma_Dataset.harvard-oct-glaucoma-200-bilateral
Harvard-GF 200^3 — bilateral-filtered volumes
Bilateral-filtered counterpart of
tqhuyen/harvard-oct-glaucoma-200.
Volumes remain at the canonical 200^3 resolution, stored as uint8 .npy.
Provenance
Raw source: tqhuyen/harvard-oct-glaucoma-200, revision
939a38876b7b9313162842ef2d44b7edc2b57020
(itself derived from harvardairobotics/Harvard-GF, IEEE TMI 2024, Luo et al.).
Filter: grayscale bilateral, applied slice-by-slice along source axis 0.
Parameters:… See the full description on the dataset page: https://huggingface.co/datasets/tqhuyen/harvard-oct-glaucoma-200-bilateral.glaucoma_knowledge_base
glaucoma_knowledge_base
Dataset Description
The Comprehensive Glaucoma Knowledge Base aims to provide an in-depth understanding of glaucoma, its types, risk factors, symptoms, and more. This dataset is designed for healthcare professionals, researchers, and educators who seek reliable information about glaucoma. Key features include clear and complete data fields, reliable sources (such as the American Academy of Ophthalmology and Mayo Clinic), and a variety of related… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/glaucoma_knowledge_base.glaucoma_fundus_demoglaucomaharvard-oct-glaucoma-96
Harvard-GF 96^3 resized dataset
Resized (antialiased) version of Harvard-GF OCT volumes at 96^3 uint8.
Source: harvardairobotics/Harvard-GF (raw 200^3 B-scans), IEEE TMI 2024 (Luo et al.)
store_shape: [1, 96, 96, 96] | source_shape: [200, 200, 200] | antialias: True
Splits (volumes, pos=glaucoma / neg):
Training: 2100 (pos 1083 / neg 1017)
Validation: 300 (pos 176 / neg 124)
Test: 900 (pos 489 / neg 411)
Layout: {Training,Validation,Test}_{volumes,labels}.npy
(volumes (N,1,96… See the full description on the dataset page: https://huggingface.co/datasets/tqhuyen/harvard-oct-glaucoma-96.harvard-oct-glaucoma-128
Harvard-GF 128^3 resized dataset
Resized (antialiased) version of Harvard-GF OCT volumes at 128^3 uint8.
Source: harvardairobotics/Harvard-GF (raw 200^3 B-scans), IEEE TMI 2024 (Luo et al.)
store_shape: [1, 128, 128, 128] | source_shape: [200, 200, 200] | antialias: True
Splits (volumes, pos=glaucoma / neg):
Training: 2100 (pos 1083 / neg 1017)
Validation: 300 (pos 176 / neg 124)
Test: 900 (pos 489 / neg 411)
Layout: {Training,Validation,Test}_{volumes,labels}.npy
(volumes (N… See the full description on the dataset page: https://huggingface.co/datasets/tqhuyen/harvard-oct-glaucoma-128.GlaucomaQazGo_GlaucomaThis dataset contains 791 images and corresponding masks, each sized 640x640 pixels. This dataset is suitable for image segmentation tasks in computer vision.
glaucoma-backups-v2