diff --git a/openbr/plugins/classification/cascade.cpp b/openbr/plugins/classification/cascade.cpp
index 166b027..5c532b6 100644
--- a/openbr/plugins/classification/cascade.cpp
+++ b/openbr/plugins/classification/cascade.cpp
@@ -1,6 +1,7 @@
 #include <opencv2/imgproc/imgproc.hpp>
 
 #include <openbr/plugins/openbr_internal.h>
+#include <openbr/core/common.h>
 
 using namespace cv;
 
@@ -25,6 +26,8 @@ struct ImageHandler
         stepFactor  = 0.5F;
         round = 0;
 
+        indices = Common::RandSample(posImages.size(),posImages.size(),true);
+
         return true;
     }
 
@@ -85,7 +88,7 @@ struct ImageHandler
         if (posIdx >= posImages.size())
             return false;
 
-        posImages[posIdx++].copyTo(_img);
+        posImages[indices[posIdx++]].copyTo(_img);
         return true;
     }
 
@@ -100,6 +103,8 @@ struct ImageHandler
     float   stepFactor;
     size_t  round;
     Size    winSize;
+
+    QList<int> indices;
 };
 
 /*!
@@ -139,10 +144,15 @@ class CascadeClassifier : public Classifier
         for (int i = 0; i < images.size(); i++)
             labels[i] == 1 ? posImages.append(images[i]) : negImages.append(images[i]);
 
+        stages.reserve(numStages);
+        for (int i = 0; i < numStages; i++) {
+            Classifier *next_stage = Classifier::make(stageDescription, NULL);
+            stages.append(next_stage);
+        }
+
         ImageHandler imgHandler;
-        imgHandler.create(posImages, negImages, Size(24, 24));
+        imgHandler.create(posImages, negImages, windowSize());
 
-        stages.reserve(numStages);
         for (int i = 0; i < numStages; i++) {
             qDebug() << "===== TRAINING" << i << "stage =====";
             qDebug() << "<BEGIN";
@@ -157,9 +167,7 @@ class CascadeClassifier : public Classifier
                 return;
             }
 
-            Classifier *next_stage = Classifier::make(stageDescription, NULL);
-            next_stage->train(trainingImages, trainingLabels);
-            stages.append(next_stage);
+            stages[i]->train(trainingImages, trainingLabels);
 
             qDebug() << "END>";
         }
@@ -193,7 +201,7 @@ class CascadeClassifier : public Classifier
         return stages.first()->preprocess(image);
     }
 
-    Size windowSize(int *dx, int *dy) const
+    Size windowSize(int *dx = NULL, int *dy = NULL) const
     {
         return stages.first()->windowSize(dx, dy);
     }