--- a
+++ b/ants/label/label_overlap_measures.py
@@ -0,0 +1,46 @@
+__all__ = ["label_overlap_measures"]
+
+import pandas as pd
+
+
+from ants.internal import get_lib_fn
+from ants.decorators import image_method
+
+@image_method
+def label_overlap_measures(source_image, target_image):
+    """
+    Get overlap measures from two label images (e.g., Dice)
+
+    ANTsR function: `labelOverlapMeasures`
+
+    Arguments
+    ---------
+    source image : ANTsImage
+        Source image
+
+    target_image : ANTsImage
+        Target image
+
+    Returns
+    -------
+    data frame with measures for each label and all labels combined
+
+    Example
+    -------
+    >>> import ants
+    >>> r16 = ants.image_read( ants.get_ants_data('r16') )
+    >>> r64 = ants.image_read( ants.get_ants_data('r64') )
+    >>> s16 = ants.kmeans_segmentation( r16, 3 )['segmentation']
+    >>> s64 = ants.kmeans_segmentation( r64, 3 )['segmentation']
+    >>> stats = ants.label_overlap_measures(s16, s64)
+    """
+    source_image_int = source_image.clone("unsigned int")
+    target_image_int = target_image.clone("unsigned int")
+
+    libfn = get_lib_fn("labelOverlapMeasures%iD" % source_image_int.dimension)
+    df = libfn(source_image_int.pointer, target_image_int.pointer)
+    df = pd.DataFrame(df)
+    # Set Label column to object type as it can contain strings
+    df['Label'] = df['Label'].astype(object)
+    df.loc[0, 'Label'] = 'All'
+    return df