Update Populus_Stomatal_Images_Datasets.py

Populus_Stomatal_Images_Datasets.py

@@ -80,32 +80,32 @@ class NewDataset(datasets.GeneratorBasedBuilder):
     # DEFAULT_CONFIG_NAME = "first_domain"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
     def _info(self):
-    features = datasets.Features({
-        "image_id": datasets.Value("string"),
-        "species": datasets.Value("string"),
-        "scientific_name": datasets.Value("string"),
-        "pics_array": datasets.Array3D(dtype="uint8", shape=(3, 768, 1024)), # Assuming images are RGB with shape 768x1024
-        "image_resolution": {
-            "width": datasets.Value("int32"),
-            "height": datasets.Value("int32"),
-        },
-        "annotations": datasets.Sequence({
-            "category_id": datasets.Value("int32"),
-            "bounding_box": {
-                "x_min": datasets.Value("float32"),
-                "y_min": datasets.Value("float32"),
-                "x_max": datasets.Value("float32"),
-                "y_max": datasets.Value("float32"),
+        features = datasets.Features({
+            "image_id": datasets.Value("string"),
+            "species": datasets.Value("string"),
+            "scientific_name": datasets.Value("string"),
+            "pics_array": datasets.Array3D(dtype="uint8", shape=(3, 768, 1024)), # Assuming images are RGB with shape 768x1024
+            "image_resolution": {
+                "width": datasets.Value("int32"),
+                "height": datasets.Value("int32"),
             },
-        }),
-    })
-    return datasets.DatasetInfo(
-        description=_DESCRIPTION,
-        features=features,  # Here we define them because they are different between the two configurations
-        homepage=_HOMEPAGE,
-        license=_LICENSE,
-        citation=_CITATION,
-    )
+            "annotations": datasets.Sequence({
+                "category_id": datasets.Value("int32"),
+                "bounding_box": {
+                    "x_min": datasets.Value("float32"),
+                    "y_min": datasets.Value("float32"),
+                    "x_max": datasets.Value("float32"),
+                    "y_max": datasets.Value("float32"),
+                },
+            }),
+        })
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,  # Here we define them because they are different between the two configurations
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
 
     def _split_generators(self, dl_manager):
         # Only download data, no need to split