diff --git a/keypoint_detection/models/detector.py b/keypoint_detection/models/detector.py
index 8e3ed59..f62b62a 100644
--- a/keypoint_detection/models/detector.py
+++ b/keypoint_detection/models/detector.py
@@ -315,7 +315,7 @@ def visualize_predicted_keypoints(self, result_dict):
         # get the keypoints from the heatmaps
         predicted_heatmaps = predicted_heatmaps.detach().float()
         predicted_keypoints = get_keypoints_from_heatmap_batch_maxpool(
-            predicted_heatmaps, self.max_keypoints, self.minimal_keypoint_pixel_distance, abs_max_threshold=0.2
+            predicted_heatmaps, self.max_keypoints, self.minimal_keypoint_pixel_distance, abs_max_threshold=0.1
         )
         # overlay the images with the keypoints
         grid = visualize_predicted_keypoints(images, predicted_keypoints, self.keypoint_channel_configuration)
diff --git a/keypoint_detection/utils/visualization.py b/keypoint_detection/utils/visualization.py
index 0bca3af..b547513 100644
--- a/keypoint_detection/utils/visualization.py
+++ b/keypoint_detection/utils/visualization.py
@@ -20,7 +20,10 @@ def get_logging_label_from_channel_configuration(channel_configuration: List[Lis
             channel_name = f"{channel_configuration[0]}+{channel_configuration[1]}+..."
 
     channel_name_short = (channel_name[:40] + "...") if len(channel_name) > 40 else channel_name
-    label = f"{channel_name_short}_{mode}"
+    if mode != "":
+        label = f"{channel_name_short}_{mode}"
+    else:
+        label = channel_name_short
     return label
 
 
@@ -108,7 +111,7 @@ def draw_keypoints_on_image(
 
         draw.text(
             (10, channel_idx * 10 * scale),
-            get_logging_label_from_channel_configuration(channel_configuration[channel_idx], "").split("_")[0],
+            get_logging_label_from_channel_configuration(channel_configuration[channel_idx], ""),
             fill=color_pool[channel_idx],
             font=ImageFont.truetype("FreeMono.ttf", size=10 * scale),
         )