Datasets:
Tasks:
Image Classification
Size:
10K - 100K
image_file_path
stringlengths 263
278
| image
imagewidth (px) 640
640
| labels
class label 2
classes |
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zip://NORMAL/IM-0081-0001_jpeg.rf.dd9bc1b5154f969a9469d612f8c7813c.jpg::https://huggingface.co/datasets/trpakov/chest-xray-classification/resolve/main/data/train.zip | 1NORMAL
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zip://NORMAL/IM-0084-0001_jpeg.rf.045e733f53d0940a6939b84e426f2505.jpg::https://huggingface.co/datasets/trpakov/chest-xray-classification/resolve/main/data/train.zip | 1NORMAL
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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
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.ai on December 8, 2021 at 12:45 AM GMT
It includes 13977 images. Pneumonia are annotated in folder format.
The following pre-processing was applied to each image:
- Auto-orientation of pixel data (with EXIF-orientation stripping)
- Resize to 640x640 (Stretch)
The following augmentation was applied to create 3 versions of each source image:
- Random shear of between -3° to +3° horizontally and -2° to +2° vertically
- Random brigthness adjustment of between -5 and +5 percent
- Random exposure adjustment of between -5 and +5 percent
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