datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Lurcher_10x
Lurcher 10x Microscopy Dataset
Dataset overview
This dataset consists of 2-D microscopy images of histologically stained 3-D structures in tissue sections through the cerebellum of 21 mouse brains. Animals are grouped into wild-type controls (n = 10) and Lurcher mutant mice (n = 11). The classification task is to distinguish Lurcher mutant mice from wild-type controls.
All images were captured at low magnification (10x) and stained with Cresyl violet, a general… See the full description on the dataset page: https://huggingface.co/datasets/USF-CS-Microscopy-Image-Analysis/Lurcher_10x.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.SNAP25_ESM2_OpenFold3_Structural_Analysis
🧬 SNAP25 OpenFold3 Structural Analysis Dataset
Comprehensive structural predictions and therapeutic discovery data for 677 SNAP25 missense variants
🎯 Overview
This dataset provides the first comprehensive structural analysis of SNAP25 (Synaptosomal-Associated Protein 25 kDa) missense variants, generated to support therapeutic discovery for SNAP25-related developmental and epileptic encephalopathy (DEE-SNAP25).
SNAP25 is a critical component of the neuronal… See the full description on the dataset page: https://huggingface.co/datasets/SkyWhal3/SNAP25_ESM2_OpenFold3_Structural_Analysis.Visual_Emotional_Analysisautotrain-data-mnist-analysis
AutoTrain Dataset for project: mnist-analysis
Dataset Description
This dataset has been automatically processed by AutoTrain for project mnist-analysis.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<28x28 L PIL image>",
"target": 1
},
{
"image": "<28x28 L PIL image>",
"target": 0
}
]
Dataset Fields… See the full description on the dataset page: https://huggingface.co/datasets/realzdlegend/autotrain-data-mnist-analysis.jwst-quality-analysis-dataset
JWST Quality Analysis Dataset
Overview
This dataset contains comprehensive quality analysis for 2,709 JWST (James Webb Space Telescope) NIRCam images from the MAST archive. Each image has been automatically analyzed for quality metrics, artifact detection, and noise characteristics.
Dataset Information
Size: 2,709 images
Format: JSONL (JSON Lines)
Source: JWST NIRCam observations from MAST
Targets: M16, NGC 3132, NGC 3324, SMACS 0723, Stephan's Quintet… See the full description on the dataset page: https://huggingface.co/datasets/norbertm/jwst-quality-analysis-dataset.