datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RAM-H1200-v1
RAM-H1200
Dataset Summary
RAM-H1200 is a multi-task full-hand radiograph dataset for rheumatoid arthritis (RA) related image analysis. It is designed to support several clinically relevant computer vision tasks, including:
hand bone structure segmentation
bone erosion related segmentation
joint localization for Sharp/van der Heijde (SvdH) scoring
joint-level SvdH bone erosion (BE) scoring
joint-level SvdH joint space narrowing (JSN) scoring
The dataset contains… See the full description on the dataset page: https://huggingface.co/datasets/TokyoTechMagicYang/RAM-H1200-v1.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.SynthCheX-75K-v2
SynthCheX-75K
SynthCheX-75K is released as a part of the CheXGenBench paper. It is a synthetic dataset generated using Sana (0.6B) [1] fine-tuned on chest radiographs. Sana (0.6B) establishes the SoTA performance on the CheXGenBench benchmark.
The dataset contains 75,649 high-quality image-text samples along with the pathological annotations.
Filtration Process for SynthCheX-75K
Generative models can lead to both high and low-fidelity generations on different subsets… See the full description on the dataset page: https://huggingface.co/datasets/raman07/SynthCheX-75K-v2.Diabetic_Retinopathy_Preprocessed_Dataset_256x256This is dataset comes from this Kaggle Dataset
from the user Sachin Kumar.
The goal of the dataset is for the Varun AIM Projects to easily start running and download the dataset on their local computer in the HF libraries as the directory I strongly recommedn to use.
beer-classification