Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
Read csv file and get the label for each image id
Browse files
NIH-Chest-X-ray-dataset.py
CHANGED
@@ -143,15 +143,20 @@ class XChest(datasets.GeneratorBasedBuilder):
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def _generate_examples(self, files):
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for i, path in enumerate(files):
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file_name = os.path.basename(path)
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if file_name.endswith(".png"):
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yield i, {
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"image_file_path": path,
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"image": path,
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#"labels": ["Mass", "Hernia"]
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#"labels": [5, 14]
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-
"labels": "Mass"
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#"multi-labels": list(map(int, [_LABEL2IDX[x] for x in ["Mass", "Hernia"]))
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}
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]
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def _generate_examples(self, files):
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+
# Read csv with image labels
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label_csv = read_csv(_URLS['labels'])
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for i, path in enumerate(files):
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file_name = os.path.basename(path)
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# Get image id to filter the respective row of the csv
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image_id = file_name.split('/')[-1]
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if file_name.endswith(".png"):
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yield i, {
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"image_file_path": path,
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"image": path,
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#"labels": ["Mass", "Hernia"]
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#"labels": [5, 14]
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+
#"labels": "Mass"
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"labels": label_csv[label_csv['Image Index'] == image_id, 'Finding labels'].str.split('|')[0]
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#"multi-labels": list(map(int, [_LABEL2IDX[x] for x in ["Mass", "Hernia"]))
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}
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