diff --git a/indicoio/utils/image.py b/indicoio/utils/image.py
index 97b7f85..70fb19e 100644
--- a/indicoio/utils/image.py
+++ b/indicoio/utils/image.py
@@ -37,8 +37,8 @@ def image_preprocess(image, size=(48,48), batch=False):
     elif isinstance(image, Image.Image):
         out_image = image
     elif type(image).__name__ == "ndarray": # image is from numpy/scipy
-        if "float" in str(image.dtype) and image.min() > 0 and image.max() < 1:
-            image *= 255
+        if "float" in str(image.dtype) and image.min() >= 0 and image.max() <= 1:
+            image *= 255.
         try:
             out_image = Image.fromarray(image.astype("uint8"))
         except TypeError as e:
@@ -102,7 +102,7 @@ def process_list_image(_list):
                 if data_type == float:
                     seq_obj.append((int(elem[0] * 255), int(elem[1] * 255), int(elem[2] * 255)))
                 else:
-                    seq_obj.append(elem[0:3])
+                    seq_obj.append(tuple(elem[0:3]))
             elif data_type == float:
                 #Grayscale 0 - 1.0f
                 seq_obj.append((int(elem * 255), ) * 3)
diff --git a/tests/test_remote.py b/tests/test_remote.py
index 30daba7..580247f 100644
--- a/tests/test_remote.py
+++ b/tests/test_remote.py
@@ -291,6 +291,14 @@ class FullAPIRun(unittest.TestCase):
         self.assertEqual(len(response), 48)
         self.check_range(response)
 
+    def test_rgba_int_array_facial_features(self):
+        test_face = generate_rgba_int_array((48, 48))
+        response = facial_features(test_face)
+
+        self.assertTrue(isinstance(response, list))
+        self.assertEqual(len(response), 48)
+        self.check_range(response)
+
     def test_good_int_array_facial_features(self):
         fer_set = set(['Angry', 'Sad', 'Neutral', 'Surprise', 'Fear', 'Happy'])
         test_face = generate_int_array((48,48))
@@ -502,7 +510,10 @@ def generate_array(size):
     return [[random.random() for _ in xrange(size[0])] for _ in xrange(size[1])]
 
 def generate_int_array(size):
-    return [[random.randint(0, 50) for _ in xrange(size[0])] for _ in xrange(size[1])]
+    return [[random.randint(0, 255) for _ in xrange(size[0])] for _ in xrange(size[1])]
+
+def generate_rgba_int_array(size):
+    return [[[random.randint(0, 255) for _ in xrange(3)] for _ in xrange(size[0])] for _ in xrange(size[1])]
 
 
 if __name__ == "__main__":