Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
cheeck tabs
Browse files- NIH-Chest-X-ray-dataset.py +17 -16
NIH-Chest-X-ray-dataset.py
CHANGED
@@ -127,22 +127,23 @@ class ChestXray14(datasets.GeneratorBasedBuilder):
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keys = ("image", "labels")
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if self.config.name == "object-detection":
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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keys = ("image", "labels")
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if self.config.name == "object-detection":
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pass
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# features = datasets.Features(
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# {
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# "image_id": datasets.Value("string"),
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# "patient_id": datasets.Value("int32"),
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# "image": datasets.Image(),
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# "width": datasets.Value("int32"),
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# "height": datasets.Value("int32"),
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# }
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# )
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# object_dict = {
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# "image_id": datasets.Value("string"),
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# "area": datasets.Value("int64"),
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# "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
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# }
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# features["objects"] = [object_dict]
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# keys = ("image", "objects")
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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