Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
Fix tabs problems
Browse files- NIH-Chest-X-ray-dataset.py +16 -16
NIH-Chest-X-ray-dataset.py
CHANGED
|
@@ -127,22 +127,22 @@ class ChestXray14(datasets.GeneratorBasedBuilder):
|
|
| 127 |
keys = ("image", "labels")
|
| 128 |
|
| 129 |
if self.config.name == "object-detection":
|
| 130 |
-
|
| 131 |
-
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
|
| 136 |
-
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
|
| 142 |
-
|
| 143 |
-
|
| 144 |
-
|
| 145 |
-
|
| 146 |
|
| 147 |
return datasets.DatasetInfo(
|
| 148 |
description=_DESCRIPTION,
|
|
|
|
| 127 |
keys = ("image", "labels")
|
| 128 |
|
| 129 |
if self.config.name == "object-detection":
|
| 130 |
+
features = datasets.Features(
|
| 131 |
+
{
|
| 132 |
+
"image_id": datasets.Value("string"),
|
| 133 |
+
"patient_id": datasets.Value("int32"),
|
| 134 |
+
"image": datasets.Image(),
|
| 135 |
+
"width": datasets.Value("int32"),
|
| 136 |
+
"height": datasets.Value("int32"),
|
| 137 |
+
}
|
| 138 |
+
)
|
| 139 |
+
object_dict = {
|
| 140 |
+
"image_id": datasets.Value("string"),
|
| 141 |
+
"area": datasets.Value("int64"),
|
| 142 |
+
"bbox": datasets.Sequence(datasets.Value("float32"), length=4),
|
| 143 |
+
}
|
| 144 |
+
features["objects"] = [object_dict]
|
| 145 |
+
keys = ("image", "objects")
|
| 146 |
|
| 147 |
return datasets.DatasetInfo(
|
| 148 |
description=_DESCRIPTION,
|