diff --git a/mean_average_precision/detection_map.py b/mean_average_precision/detection_map.py
index 0928452..7f21359 100644
--- a/mean_average_precision/detection_map.py
+++ b/mean_average_precision/detection_map.py
@@ -158,3 +158,21 @@ def plot(self, interpolated=True, class_names=None):
 
         plt.suptitle("Mean average precision : {:0.2f}".format(sum(mean_average_precision)/len(mean_average_precision)))
         fig.tight_layout()
+        
+    
+    def get_result(self,interpolated=True, class_names=None):
+        """
+        return result. As result is calculated for a batch, it needs to be utilized for entire dataset.
+        """
+
+        mean_average_precision = []
+        # TODO: data structure not optimal for this operation...
+        for i in range (self.n_class):
+            if i > self.n_class - 1:
+                break
+            precisions, recalls = self.compute_precision_recall_(i, interpolated)
+            average_precision = self.compute_ap(precisions, recalls)
+            class_name = class_names[i] if class_names else "Class {}".format(i)
+            mean_average_precision.append(average_precision)
+
+        return sum(mean_average_precision)/len(mean_average_precision)