diff --git a/tools/analysis_3d/analysis_runner.py b/tools/analysis_3d/analysis_runner.py
index d970d75d2..367f3728e 100644
--- a/tools/analysis_3d/analysis_runner.py
+++ b/tools/analysis_3d/analysis_runner.py
@@ -178,7 +178,9 @@ def _extra_scenario_data(
 
             t4 = Tier4(data_root=str(scene_root_dir_path), verbose=False)
             sample_data = self._extract_sample_data(t4=t4)
-            scenario_data[scene_token] = ScenarioData(scene_token=scene_token, sample_data=sample_data)
+            scenario_data[scene_token] = ScenarioData(
+                scene_token=scene_token, frames=len(t4.sample), sample_data=sample_data
+            )
         return scenario_data
 
     def run(self) -> None:
diff --git a/tools/analysis_3d/callbacks/category.py b/tools/analysis_3d/callbacks/category.py
index abf5d4e2c..0ac1375ae 100644
--- a/tools/analysis_3d/callbacks/category.py
+++ b/tools/analysis_3d/callbacks/category.py
@@ -41,6 +41,7 @@ def __init__(
     def _visualize_total_category_counts(
         self,
         dataset_category_counts: Dict[str, Dict[str, int]],
+        dataset_frame_counts: Dict[str, int],
         split_name: str,
         log_scale: bool = True,
         figsize: tuple[int, int] = (15, 15),
@@ -52,6 +53,8 @@ def _visualize_total_category_counts(
         :param log_scale: Set True to make the frequency in log-scale (power of 10).
         :param figsize: Figure size.
         """
+        frames = sum(dataset_frame_counts.values())
+
         all_available_categories = [
             category_name
             for category_counts in dataset_category_counts.values()
@@ -82,7 +85,7 @@ def _visualize_total_category_counts(
 
         # Add some text for labels, title and custom x-axis tick labels, etc.
         ax.set_ylabel(self.y_axis_label)
-        ax.set_title(self.x_axis_label)
+        ax.set_title(f"{self.x_axis_label} (Total frames: {frames})")
         ax.set_yticks(y + height, all_available_categories)
         ax.legend(loc=self.legend_loc)
         ax.invert_yaxis()
@@ -101,6 +104,7 @@ def run(self, dataset_split_analysis_data: Dict[DatasetSplitName, AnalysisData])
         print_log(f"Running {self.__class__.__name__}")
         for split_option in SplitOptions:
             dataset_category_counts = {}
+            dataset_frame_counts = {}
             for dataset_split_name, analysis_data in dataset_split_analysis_data.items():
                 split_name = dataset_split_name.split_name
                 if split_name != split_option.value:
@@ -111,7 +115,11 @@ def run(self, dataset_split_analysis_data: Dict[DatasetSplitName, AnalysisData])
                     remapping_classes=self.remapping_classes
                 )
 
+                dataset_frame_counts[dataset_name] = analysis_data.frames
+
             self._visualize_total_category_counts(
-                dataset_category_counts=dataset_category_counts, split_name=split_option.value
+                dataset_category_counts=dataset_category_counts,
+                dataset_frame_counts=dataset_frame_counts,
+                split_name=split_option.value,
             )
         print_log(f"Done running {self.__class__.__name__}")
diff --git a/tools/analysis_3d/callbacks/category_attribute.py b/tools/analysis_3d/callbacks/category_attribute.py
index bbb1c05c2..581f27949 100644
--- a/tools/analysis_3d/callbacks/category_attribute.py
+++ b/tools/analysis_3d/callbacks/category_attribute.py
@@ -37,6 +37,7 @@ def run(self, dataset_split_analysis_data: Dict[DatasetSplitName, AnalysisData])
         print_log(f"Running {self.__class__.__name__}")
         for split_option in SplitOptions:
             dataset_category_counts = {}
+            dataset_frame_counts = {}
             for dataset_split_name, analysis_data in dataset_split_analysis_data.items():
                 split_name = dataset_split_name.split_name
                 if split_name != split_option:
@@ -47,7 +48,11 @@ def run(self, dataset_split_analysis_data: Dict[DatasetSplitName, AnalysisData])
                     remapping_classes=self.remapping_classes, category_name=self.category_name
                 )
 
+                dataset_frame_counts[dataset_name] = analysis_data.frames
+
             self._visualize_total_category_counts(
-                dataset_category_counts=dataset_category_counts, split_name=split_option.value
+                dataset_category_counts=dataset_category_counts,
+                dataset_frame_counts=dataset_frame_counts,
+                split_name=split_option.value,
             )
         print_log(f"Done running {self.__class__.__name__}")
diff --git a/tools/analysis_3d/data_classes.py b/tools/analysis_3d/data_classes.py
index cb30e02ea..1385fed39 100644
--- a/tools/analysis_3d/data_classes.py
+++ b/tools/analysis_3d/data_classes.py
@@ -152,6 +152,7 @@ class ScenarioData:
     """Data class to save data for a scenario, for example, a list of SampleData."""
 
     scene_token: str
+    frames: int
     sample_data: Dict[str, SampleData] = field(default_factory=lambda: {})  # Sample token, SampleAnalysis
 
     def add_sample_data(self, sample_data: SampleData) -> None:
@@ -262,3 +263,11 @@ def aggregate_category_attr_counts(
                 for name, counts in category_counts.items():
                     total_category_counts[name] += counts
         return total_category_counts
+
+    @property
+    def frames(self) -> int:
+        """
+        Get total frames in this AnalysisData.
+        :return: Total frames in this AnalysisData.
+        """
+        return sum(scenario_data.frames for scenario_data in self.scenario_data.values())