datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Multimodal-Chest-X-ray-dataset-for-Normal-and-Bacterial-Pneumonia-in-Africans
Multimodal Chest X ray dataset for Normal and Bacterial Pneumonia in Africans | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: imagefolder - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Multimodal-Chest-X-ray-dataset-for-Normal-and-Bacterial-Pneumonia-in-Africans.chest-xray-tb-pneumonia
Chest X-Ray: Tuberculosis, Pneumonia & Normal
A curated chest X-ray image dataset for three-class classification: NORMAL, PNEUMONIA, and TUBERCULOSIS.
Derived from public sources (NIH Chest X-ray Dataset, RSNA Pneumonia Detection Challenge, Kaggle TB datasets) and split into train/validation/test sets.
Dataset Structure
final_dataset/
├── train/ # 9,097 images (NORMAL=3,911 | PNEUMONIA=2,971 | TUBERCULOSIS=2,215)
├── val/ # 1,950 images… See the full description on the dataset page: https://huggingface.co/datasets/realsudarshan/chest-xray-tb-pneumonia.synthetic-chest-xray-pneumonia
Synthetic Chest X-Ray Pneumonia Dataset
Dataset Description
This dataset contains synthetic chest X-ray images generated using Stable Diffusion 2.1
fine-tuned with DreamBooth on the hf-vision/chest-xray-pneumonia dataset.
Purpose
Created for a science fair project investigating whether synthetic medical images generated
by diffusion models can improve pneumonia classifier accuracy.
Research Question
Can synthetic chest X-ray images generated by a… See the full description on the dataset page: https://huggingface.co/datasets/chimbiwide/synthetic-chest-xray-pneumonia.pneumoniamnist
pneumoniamnist (MedMNIST)
Source: pneumoniamnistTask: binary-classResolutions: 224x224License: CC BY 4.0
Description
The PneumoniaMNIST is based on a prior dataset of 5,856 pediatric chest X-Ray images. The task is
binary-class classification of pneumonia against normal. We split the source training set with a
ratio of 9:1 into training and validation set and use its source validation set as the test set. The
source images are gray-scale, and their sizes are (384−2… See the full description on the dataset page: https://huggingface.co/datasets/adrianrm/pneumoniamnist.chest-xray-pneumonia-3class-balanced
Chest X-Ray (Pneumonia) — 3-class balanced (opencampus Week 6)
Prepared dataset for the opencampus applied ML Week 6 assignment.
Classes
NORMAL
BACTERIAL_PNEUMONIA
VIRAL_PNEUMONIA
Layout
chest_xray/
├── train/
└── val/
unseen/
Colab / notebook download
For Google Colab, download the prepared archive (~1 GB) and pretrained weights from this repo:
chest_xray_prepared.zip — contains chest_xray/ and unseen/
resnet18_chest_xray_classifier_weights.pth… See the full description on the dataset page: https://huggingface.co/datasets/opencampus/chest-xray-pneumonia-3class-balanced.