datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
retina-age-analysis
Retina Age Analysis Dataset
Dataset Description
This dataset contains 9,857 retinal fundus images from 5,393 patients for age prediction tasks.
Dataset Summary
Task: Age prediction from retinal fundus images
Images: 9,857 high-quality retinal images
Patients: 5,393 unique patients
Age Range: 5-97 years
Image Format: JPEG
Average Image Size: ~1 MB
Supported Tasks
Regression: Predict continuous age (5-97 years)
Classification: Predict age group (5… See the full description on the dataset page: https://huggingface.co/datasets/ramankamran/retina-age-analysis.retinaface_widerface
retinaface_widerface
这个目录用于生成可直接上传到 Hugging Face Datasets 的 WiderFace 教学版数据。
目标格式
转换完成后会生成两个 split：
train
val
对应文件路径默认是：
train/train-00000-of-00001.parquet
val/val-00000-of-00001.parquet
数据来源
train 来自 data/widerface/train/label.txt 和 data/widerface/train/images
val 来自 data/widerface/val/images 和 widerface_evaluate/ground_truth 下的 4 个 mat 文件
运行方式
在仓库根目录执行：
conda run -n retinaface python data/retinaface_widerface/build_parquet.py
如果环境里还没有… See the full description on the dataset page: https://huggingface.co/datasets/zhouxzh/retinaface_widerface.retinal_oct_analysis2retinamnist_224RetinaMNIST
RetinaMNIST - Diabetic Retinopathy Severity Classification
Description
This dataset contains color fundus images of the retina for diabetic retinopathy severity classification. The task involves grading each image into one of five severity levels based on observable clinical features. 16 reasoning traces were collected for each example in this task by sampling with GPT-4o, available in the responses column. We greatly appreciate and build from the original data source… See the full description on the dataset page: https://huggingface.co/datasets/OctoMed/RetinaMNIST.synthmed-retina-hpp-sample
SynthMed Retina — HPP I2I Sample
A sample of 2,500 synthetic retinal fundus images generated via image-to-image (I2I) diffusion from the Human Phenotype Project (10K) cohort, paired with anonymized patient metadata.
Images were produced with the hpp-retina LoRA adapter at a fixed I2I strength of 0.5, which trades off structural fidelity against re-identification risk (see the paper for the full privacy–utility curve).
Columns
Column
Type
Description
image… See the full description on the dataset page: https://huggingface.co/datasets/doronys/synthmed-retina-hpp-sample.cropped-retinaRetina2retinamnistretina