lxyuan/vit-xray-pneumonia-classification
Image Classification
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Updated
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128k
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3
Datasets:
Tasks:
Image Classification
Size:
1K - 10K
image_file_path
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End of preview. Expand
in Dataset Viewer.
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
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.ai on March 31, 2022 at 3:11 PM GMT
It includes 5824 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)
No image augmentation techniques were applied.
- Downloads last month
- 1,184
Size of downloaded dataset files:
203 MB
Size of the auto-converted Parquet files:
207 MB
Number of rows:
5,836
Models trained or fine-tuned on keremberke/chest-xray-classification
