diff --git a/sleap/gui/app.py b/sleap/gui/app.py
index a85744b4d..f471470dd 100644
--- a/sleap/gui/app.py
+++ b/sleap/gui/app.py
@@ -1181,9 +1181,9 @@ def _frames_for_prediction(self):
             values are {video: list of frame indices} dictionaries.
         """
 
-        def remove_user_labeled(
-            video, frame_idxs, user_labeled_frames=self.labels.user_labeled_frames
-        ):
+        user_labeled_frames = self.labels.user_labeled_frames
+
+        def remove_user_labeled(video, frame_idxs):
             if len(frame_idxs) == 0:
                 return frame_idxs
             video_user_labeled_frame_idxs = {
@@ -1216,6 +1216,19 @@ def remove_user_labeled(
             for video in self.labels.videos
         }
 
+        if len(self.labels.videos) > 1:
+            selection["random_video"] = {
+                current_video: remove_user_labeled(
+                    current_video, random.sample(range(current_video.frames), min(20, current_video.frames))
+                )
+            }
+
+        if user_labeled_frames:
+            selection["user"] = {
+                video: [lf.frame_idx for lf in user_labeled_frames if lf.video == video]
+                for video in self.labels.videos
+            }
+
         return selection
 
     def showLearningDialog(self, mode: str):
diff --git a/sleap/gui/learning/training.py b/sleap/gui/learning/training.py
index d3cba5371..c77c8f342 100644
--- a/sleap/gui/learning/training.py
+++ b/sleap/gui/learning/training.py
@@ -143,16 +143,24 @@ def count_total_frames(videos_frames):
 
             total_random = 0
             total_suggestions = 0
+            total_user = 0
+            random_video = 0
             clip_length = 0
             video_length = 0
 
             # Determine which options are available given _frame_selection
             if "random" in self._frame_selection:
                 total_random = count_total_frames(self._frame_selection["random"])
+            if "random_video" in self._frame_selection:
+                random_video = count_total_frames(self._frame_selection["random_video"])
             if "suggestions" in self._frame_selection:
                 total_suggestions = count_total_frames(
                     self._frame_selection["suggestions"]
                 )
+            if "user" in self._frame_selection:
+                total_user = count_total_frames(
+                    self._frame_selection["user"]
+                )
             if "clip" in self._frame_selection:
                 clip_length = count_total_frames(self._frame_selection["clip"])
             if "video" in self._frame_selection:
@@ -168,11 +176,19 @@ def count_total_frames(videos_frames):
             prediction_options.append(option)
             default_option = option
 
+            if random_video > 0:
+                option = f"random frames in current video ({random_video} frames)"
+                prediction_options.append(option)
+
             if total_suggestions > 0:
                 option = f"suggested frames ({total_suggestions} total frames)"
                 prediction_options.append(option)
                 default_option = option
 
+            if total_user > 0:
+                option = f"user labeled frames ({total_user} total frames)"
+                prediction_options.append(option)
+
             if clip_length > 0:
                 option = f"selected clip ({clip_length} frames)"
                 prediction_options.append(option)