datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
chest-xray-classification
Dataset Labels
['NORMAL', 'PNEUMONIA']
Number of Images
{'train': 4077, 'test': 582, 'valid': 1165}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/chest-xray-classification", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-traore-2ekkp/chest-x-rays-qjmia/dataset/2
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/chest-xray-classification.chest-xray-14-320
NIH Chest X-ray14 - 320x320 Processed for CheXVision
Project Resources
GitHub repository
Presentation deck
Live demo
Scratch model
DenseNet model
This dataset repackages the raw NIH Chest X-ray14 source dataset from
alkzar90/NIH-Chest-X-ray-dataset
into a data-only Parquet dataset for the CheXVision project.
Dataset Summary
Source format: 12 ZIP archives of original chest X-ray images plus CSV manifests
Output format: data-only Parquet shards under data/… See the full description on the dataset page: https://huggingface.co/datasets/arudaev/chest-xray-14-320.chest-xray-14
NIH Chest X-ray14 — Processed for CheXVision
This dataset wraps the NIH Chest X-ray14 dataset, preprocessed for the CheXVision project.
Labels
Label
Count
Prevalence
Infiltration
19,894
17.7%
Effusion
13,317
11.9%
Atelectasis
11,559
10.3%
Nodule
6,331
5.6%
Mass
5,782
5.2%
Pneumothorax
5,302
4.7%
Consolidation
4,667
4.2%
Pleural_Thickening
3,385
3.0%
Cardiomegaly
2,776
2.5%
Emphysema
2,516
2.2%
Edema
2,303
2.1%
Fibrosis
1,686
1.5%… See the full description on the dataset page: https://huggingface.co/datasets/arudaev/chest-xray-14.chest_Xray_reasoning_v2chest-xray-14
NIH Chest X-ray14 — Processed for CheXVision
This dataset wraps the NIH Chest X-ray14 dataset, preprocessed for the CheXVision project.
Labels
Label
Count
Prevalence
Infiltration
19,894
17.7%
Effusion
13,317
11.9%
Atelectasis
11,559
10.3%
Nodule
6,331
5.6%
Mass
5,782
5.2%
Pneumothorax
5,302
4.7%
Consolidation
4,667
4.2%
Pleural_Thickening
3,385
3.0%
Cardiomegaly
2,776
2.5%
Emphysema
2,516
2.2%
Edema
2,303
2.1%
Fibrosis
1,686
1.5%… See the full description on the dataset page: https://huggingface.co/datasets/Sharon2105/chest-xray-14.chest_Xray_reasoningNIH-ChestXray14-Balancedchest-xray-classification
Dataset Labels
['PNEUMONIA', 'NORMAL']
Number of Images
{'test': 582, 'valid': 1165, 'train': 12230}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("trpakov/chest-xray-classification", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-traore-2ekkp/chest-x-rays-qjmia/dataset/3
Citation
License… See the full description on the dataset page: https://huggingface.co/datasets/trpakov/chest-xray-classification.ChestXrayschest_XRay_reasoning_v3chest-xray-14
NIH Chest X-ray14 Dataset
Dataset Description
This dataset contains 112120 chest X-ray images with multiple disease labels per image.
Labels
Atelectasis, Cardiomegaly, Consolidation, Edema, Effusion, Emphysema, Fibrosis, Hernia, Infiltration, Mass, No Finding, Nodule, Pleural_Thickening, Pneumonia, Pneumothorax
Dataset Structure
Train split: 78484 images
Validation split: 16818 images
Test split: 16818 images
Data Format
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Manas2703/chest-xray-14.chest-xray-pneumonia-imagesIndiana_University_Chest_X-ray_Collectionindiana_uni_chest_x_rayIndiana_University_Chest_X-ray_CollectionChest_xray_pa_rephraseChest_Xray_N_Object_Detectionindiana-chestxray-captions-newChest_xray_paAmbiGAN-ChestXRay
AmbiGAN-ChestXRay Companion Dataset
Dataset Summary
The AmbiGAN-ChestXRay Companion Dataset is a synthetic dataset of ambiguous chest X-ray images generated using Ambiguous Generative Adversarial Networks (AmbiGAN).
It is designed to stress-test binary image classifiers under ambiguity, rather than to improve diagnostic performance.
Source dataset: Pneumonia Chest X-Ray (Normal vs. Pneumonia)
Resolution: 128×128 RGB (downsampled from original resolution)
Total… See the full description on the dataset page: https://huggingface.co/datasets/inesgomes/AmbiGAN-ChestXRay.chest-xray-pneumoniaChest X-Ray Images (Pneumonia) Dataset from Kaggle
chestX-rayaadigupta1601_chest-x-ray-pneumonia-numerical-feature-dataset
Chest X-Ray Pneumonia Numerical Feature Dataset
Validated Numerical Features Extracted from Chest X-Ray Image
Dataset Info
Source: Kaggle
Original Size: 1.10 MB
Kaggle Downloads: 418
Files: 3
Files
test_features.csv
train_features.csv
val_features.csv
Mirrored from Kaggle
Combined_MRI_ChestXray_QAChestX_RayChest_X-Ray_Diagnosischest-xray-classificationobject-detection-chest-x-raychest-xray-pneumonia
Pneumonia Detection with DenseNet121 🧠
This application uses a pre-trained DenseNet121 model to detect pneumonia from chest X-ray images.
Features
Built with TensorFlow and Gradio
Upload and get instant predictions
Model trained on labeled X-ray dataset
Instructions
Upload a chest X-ray image
Wait for the prediction
See if pneumonia is detected or not ✅🦠
🔗 Developed by Amir Ali
lacuna-object-detection-chest-X-ray-dataset