diff --git a/app/br/br.cpp b/app/br/br.cpp
index e135b93..5daed53 100644
--- a/app/br/br.cpp
+++ b/app/br/br.cpp
@@ -163,8 +163,8 @@ public:
                 check((parc >= 2) && (parc <= 6), "Incorrect parameter count for 'evalDetection'.");
                 br_eval_detection(parv[0], parv[1], parc >= 3 ? parv[2] : "", parc >= 4 ? atoi(parv[3]) : 0, parc >= 5 ? atoi(parv[4]) : 0, parc == 6 ? atoi(parv[5]) : 0);
             } else if (!strcmp(fun, "evalLandmarking")) {
-                check((parc >= 2) && (parc <= 6), "Incorrect parameter count for 'evalLandmarking'.");
-                br_eval_landmarking(parv[0], parv[1], parc >= 3 ? parv[2] : "", parc >= 4 ? atoi(parv[3]) : 0, parc >= 5 ? atoi(parv[4]) : 1,  parc >= 6 ? atoi(parv[5]) : 0);
+                check((parc >= 2) && (parc <= 7), "Incorrect parameter count for 'evalLandmarking'.");
+                br_eval_landmarking(parv[0], parv[1], parc >= 3 ? parv[2] : "", parc >= 4 ? atoi(parv[3]) : 0, parc >= 5 ? atoi(parv[4]) : 1,  parc >= 6 ? atoi(parv[5]) : 0, parc >= 7 ? atoi(parv[6]) : 5);
             } else if (!strcmp(fun, "evalRegression")) {
                 check(parc >= 2 && parc <= 4, "Incorrect parameter count for 'evalRegression'.");
                 br_eval_regression(parv[0], parv[1], parc >= 3 ? parv[2] : "", parc >= 4 ? parv[3] : "");
diff --git a/openbr/core/eval.cpp b/openbr/core/eval.cpp
index 2e79cca..853fc51 100755
--- a/openbr/core/eval.cpp
+++ b/openbr/core/eval.cpp
@@ -1040,7 +1040,7 @@ static void projectAndWrite(Transform *t, const Template &src, const QString &fi
     OpenCVUtils::saveImage(dst.m(),filePath);
 }
 
-float EvalLandmarking(const QString &predictedGallery, const QString &truthGallery, const QString &csv, int normalizationIndexA, int normalizationIndexB, int sampleIndex)
+float EvalLandmarking(const QString &predictedGallery, const QString &truthGallery, const QString &csv, int normalizationIndexA, int normalizationIndexB, int sampleIndex, int totalExamples)
 {
     qDebug("Evaluating landmarking of %s against %s", qPrintable(predictedGallery), qPrintable(truthGallery));
     TemplateList predicted(TemplateList::fromGallery(predictedGallery));
@@ -1109,7 +1109,6 @@ float EvalLandmarking(const QString &predictedGallery, const QString &truthGalle
 
     QScopedPointer<Transform> t(Transform::make("Open+Draw(rects=false)",NULL));
 
-    const int totalExamples = 10;
     for (int i=0; i<totalExamples; i++) {
         QString filePath = "landmarking_examples_truth/"+truth[exampleIndices[i].second].file.fileName();
         projectAndWrite(t.data(), truth[exampleIndices[i].second],filePath);
diff --git a/openbr/core/eval.h b/openbr/core/eval.h
index 015e3e5..a150e92 100644
--- a/openbr/core/eval.h
+++ b/openbr/core/eval.h
@@ -31,7 +31,7 @@ namespace br
 
     void EvalClassification(const QString &predictedGallery, const QString &truthGallery, QString predictedProperty = "", QString truthProperty = "");
     float EvalDetection(const QString &predictedGallery, const QString &truthGallery, const QString &csv = "", bool normalize = false, int minSize = 0, int maxSize = 0); // Return average overlap
-    float EvalLandmarking(const QString &predictedGallery, const QString &truthGallery, const QString &csv = "", int normalizationIndexA = 0, int normalizationIndexB = 1, int sampleIndex = 0); // Return average error
+    float EvalLandmarking(const QString &predictedGallery, const QString &truthGallery, const QString &csv = "", int normalizationIndexA = 0, int normalizationIndexB = 1, int sampleIndex = 0, int totalExamples = 5); // Return average error
     void EvalRegression(const QString &predictedGallery, const QString &truthGallery, QString predictedProperty = "", QString truthProperty = "");
 }
 
diff --git a/openbr/core/plot.cpp b/openbr/core/plot.cpp
index 2c9121e..fac3948 100644
--- a/openbr/core/plot.cpp
+++ b/openbr/core/plot.cpp
@@ -546,11 +546,13 @@ bool PlotLandmarking(const QStringList &files, const File &destination, bool sho
                                     "algs <- unique(Box$%1)\n"
                                     "algs <- algs[!duplicated(algs)]\n"
                                     "print(plotImage(sample[[1]],\"Sample Landmarks\",sprintf(\"Total Landmarks: %s\",sample[[1]]$value))) \n"
-                                    "for (j in 1:length(algs)) {\n"
-                                    "truthSample <- readData(EXT[EXT$. == algs[[j]],])\n"
-                                    "predictedSample <- readData(EXP[EXP$. == algs[[j]],])\n"
-                                    "\tfor (i in 1:length(predictedSample)) {\n"
-                                    "\t\tmultiplot(plotImage(predictedSample[[i]],sprintf(\"%s\\nPredicted Landmarks\",algs[[j]]),sprintf(\"Average Landmark Error: %.3f\",predictedSample[[i]]$value)),plotImage(truthSample[[i]],\"Ground Truth\\nLandmarks\",\"\"),cols=2)\n"
+                                    "if (nrow(EXT) != 0 && nrow(EXP)) {\n"
+                                    "\tfor (j in 1:length(algs)) {\n"
+                                    "\ttruthSample <- readData(EXT[EXT$. == algs[[j]],])\n"
+                                    "\tpredictedSample <- readData(EXP[EXP$. == algs[[j]],])\n"
+                                    "\t\tfor (i in 1:length(predictedSample)) {\n"
+                                    "\t\t\tmultiplot(plotImage(predictedSample[[i]],sprintf(\"%s\\nPredicted Landmarks\",algs[[j]]),sprintf(\"Average Landmark Error: %.3f\",predictedSample[[i]]$value)),plotImage(truthSample[[i]],\"Ground Truth\\nLandmarks\",\"\"),cols=2)\n"
+                                    "\t\t}\n"
                                     "\t}\n"
                                     "}\n").arg(p.major.size > 1 ? p.major.header : (p.minor.header.isEmpty() ? p.major.header : p.minor.header))));
 
diff --git a/openbr/openbr.cpp b/openbr/openbr.cpp
index 96ec913..3162371 100644
--- a/openbr/openbr.cpp
+++ b/openbr/openbr.cpp
@@ -134,9 +134,9 @@ float br_eval_detection(const char *predicted_gallery, const char *truth_gallery
     return EvalDetection(predicted_gallery, truth_gallery, csv, normalize, minSize, maxSize);
 }
 
-float br_eval_landmarking(const char *predicted_gallery, const char *truth_gallery, const char *csv, int normalization_index_a, int normalization_index_b, int sample_index)
+float br_eval_landmarking(const char *predicted_gallery, const char *truth_gallery, const char *csv, int normalization_index_a, int normalization_index_b, int sample_index, int total_examples)
 {
-    return EvalLandmarking(predicted_gallery, truth_gallery, csv, normalization_index_a, normalization_index_b, sample_index);
+    return EvalLandmarking(predicted_gallery, truth_gallery, csv, normalization_index_a, normalization_index_b, sample_index, total_examples);
 }
 
 void br_eval_regression(const char *predicted_gallery, const char *truth_gallery, const char *predicted_property, const char *truth_property)
diff --git a/openbr/openbr.h b/openbr/openbr.h
index 6dcf3e5..4f32e86 100644
--- a/openbr/openbr.h
+++ b/openbr/openbr.h
@@ -215,8 +215,9 @@ BR_EXPORT float br_eval_detection(const char *predicted_gallery, const char *tru
  * \param normalization_index_a Optional first index in the list of points to use for normalization.
  * \param normalization_index_b Optional second index in the list of points to use for normalization.
  * \param sample_index Optional index for sample landmark image in ground truth gallery.
+ * \param total_examples Optional number of accurate and inaccurate examples to display.
  */
-BR_EXPORT float br_eval_landmarking(const char *predicted_gallery, const char *truth_gallery, const char *csv = "", int normalization_index_a = 0, int normalization_index_b = 1, int sample_index = 0);
+BR_EXPORT float br_eval_landmarking(const char *predicted_gallery, const char *truth_gallery, const char *csv = "", int normalization_index_a = 0, int normalization_index_b = 1, int sample_index = 0, int total_examples = 5);
 
 /*!
  * \brief Evaluates regression accuracy to disk.