Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
from datasets import Dataset, Image | |
import pandas as pd | |
import os | |
def load_dataset(): | |
df = pd.read_csv('Comprehensive_Metadata.csv') | |
def load_image(example): | |
label = 'NORMAL' if example['Label'] == 'Normal' else 'PNEUMONIA' | |
image_path = f'Xray-images/{example["Dataset_type"]}/{label}/{example["X_ray_image_name"]}' | |
if os.path.exists(image_path): | |
example['image'] = Image.open(image_path) | |
return example | |
dataset = Dataset.from_pandas(df) | |
dataset = dataset.map(load_image) | |
return dataset | |