diff --git a/setup.py b/setup.py
index 7185eee..94b7d0b 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="stackview",
-    version="0.4.0",
+    version="0.5.0",
     author="Robert Haase",
     author_email="robert.haase@tu-dresden.de",
     description="Interactive image stack viewing in jupyter notebooks",
diff --git a/stackview/__init__.py b/stackview/__init__.py
index ad275e5..db05dd3 100644
--- a/stackview/__init__.py
+++ b/stackview/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "0.4.0"
+__version__ = "0.5.0"
 
 import warnings
 from ._static_view import jupyter_displayable_output, insight
diff --git a/stackview/_image_widget.py b/stackview/_image_widget.py
index 2e98aff..3a013f9 100644
--- a/stackview/_image_widget.py
+++ b/stackview/_image_widget.py
@@ -97,8 +97,8 @@ def _labels_lut():
     lut = rs.rand(65537, 3)
     lut[0, :] = 0
     # these are the first four colours from matplotlib's default
-    lut[1] = [1.0, 0.4980392156862745, 0.054901960784313725]
-    lut[2] = [0.12156862745098039, 0.4666666666666667, 0.7058823529411765]
+    lut[1] = [0.12156862745098039, 0.4666666666666667, 0.7058823529411765]
+    lut[2] = [1.0, 0.4980392156862745, 0.054901960784313725]
     lut[3] = [0.17254901960784313, 0.6274509803921569, 0.17254901960784313]
     lut[4] = [0.8392156862745098, 0.15294117647058825, 0.1568627450980392]
-    return lut
\ No newline at end of file
+    return lut
diff --git a/stackview/_static_view.py b/stackview/_static_view.py
index 6d64eb2..db22dd5 100644
--- a/stackview/_static_view.py
+++ b/stackview/_static_view.py
@@ -59,16 +59,12 @@ def _repr_html_(self):
         from ._image_widget import _is_label_image
         labels = _is_label_image(self)
 
-        # In case the image is 2D, 3D and larger than 100 pixels, turn on fancy view
-        if len(self.shape) in (2, 3) and size_in_pixels >= 100:
-            import matplotlib.pyplot as plt
-            _imshow(self,
-                    labels=labels,
-                    continue_drawing=True,
-                    colorbar=not labels)
-            image = _png_to_html(_plt_to_png())
-        else:
-            return "<pre>numpy.ndarray(" + str(np.asarray(self)) + ", dtype=" + str(self.dtype) + ")</pre>"
+        import matplotlib.pyplot as plt
+        _imshow(self,
+                labels=labels,
+                continue_drawing=True,
+                colorbar=not labels)
+        image = _png_to_html(_plt_to_png())
 
         if size_in_bytes > 1024:
             size_in_bytes = size_in_bytes / 1024