diff --git a/openbr/core/eval.cpp b/openbr/core/eval.cpp
old mode 100644
new mode 100755
index 3a6b7a4..2e69e65
--- a/openbr/core/eval.cpp
+++ b/openbr/core/eval.cpp
@@ -607,11 +607,11 @@ struct DetectionOperatingPoint
 {
     float Recall, FalsePositiveRate, Precision;
     DetectionOperatingPoint() : Recall(-1), FalsePositiveRate(-1), Precision(-1) {}
-    DetectionOperatingPoint(float TP, float FP, float totalPositives)
-        : Recall(TP/totalPositives), FalsePositiveRate(FP/totalPositives), Precision(TP/(TP+FP)) {}
+    DetectionOperatingPoint(float TP, float FP, float totalPositives, float numImages)
+        : Recall(TP/totalPositives), FalsePositiveRate(FP/numImages), Precision(TP/(TP+FP)) {}
 };
 
-static QStringList computeDetectionResults(const QList<ResolvedDetection> &detections, int totalTrueDetections, bool discrete)
+static QStringList computeDetectionResults(const QList<ResolvedDetection> &detections, int totalTrueDetections, int numImages, bool discrete)
 {
     QList<DetectionOperatingPoint> points;
     float TP = 0, FP = 0, prevFP = -1;
@@ -627,7 +627,7 @@ static QStringList computeDetectionResults(const QList<ResolvedDetection> &detec
         }
         if ((i == detections.size()-1) || (detection.confidence > detections[i+1].confidence)) {
             if (FP > prevFP || (i == detections.size()-1)) {
-                points.append(DetectionOperatingPoint(TP, FP, totalTrueDetections));
+                points.append(DetectionOperatingPoint(TP, FP, totalTrueDetections, numImages));
                 prevFP = FP;
             }
         }
@@ -745,6 +745,17 @@ static QMap<QString, Detections> getDetections(const File &predictedGallery, con
     return allDetections;
 }
 
+static int getNumberOfImages(const File &truthGallery)
+{
+    const FileList files = TemplateList::fromGallery(truthGallery).files();
+    
+    QStringList names;
+    foreach(const File file, files) 
+        if (!names.contains(file.fileName()))
+            names.append(file.fileName());
+    return names.size();
+}
+
 static int associateGroundTruthDetections(QList<ResolvedDetection> &resolved, QList<ResolvedDetection> &falseNegative, QMap<QString, Detections> &all, QRectF &offsets)
 {
     float dLeftTotal = 0.0, dRightTotal = 0.0, dTopTotal = 0.0, dBottomTotal = 0.0;
@@ -864,8 +875,8 @@ float EvalDetection(const QString &predictedGallery, const QString &truthGallery
     std::sort(resolvedDetections.begin(), resolvedDetections.end());
     QStringList lines;
     lines.append("Plot, X, Y");
-    lines.append(computeDetectionResults(resolvedDetections, totalTrueDetections, true));
-    lines.append(computeDetectionResults(resolvedDetections, totalTrueDetections, false));
+    lines.append(computeDetectionResults(resolvedDetections, totalTrueDetections, getNumberOfImages(truthGallery), true));
+    lines.append(computeDetectionResults(resolvedDetections, totalTrueDetections, getNumberOfImages(truthGallery), false));
 
     float averageOverlap;
     { // Overlap Density
diff --git a/openbr/core/plot.cpp b/openbr/core/plot.cpp
index f463c48..7868c7d 100644
--- a/openbr/core/plot.cpp
+++ b/openbr/core/plot.cpp
@@ -350,10 +350,10 @@ bool PlotDetection(const QStringList &files, const File &destination, bool show)
         p.file.write(qPrintable(QString("qplot(X, Y, data=%1ROC%2").arg(type, (p.major.smooth || p.minor.smooth) ? ", geom=\"smooth\", method=loess, level=0.99" : QString(", geom=\"%1\"").arg(plotType)) +
                                 (p.major.size > 1 ? QString(", colour=factor(%1)").arg(p.major.header) : QString()) +
                                 (p.minor.size > 1 ? QString(", linetype=factor(%1)").arg(p.minor.header) : QString()) +
-                                QString(", xlab=\"Percentage of False Accepts Per Image\", ylab=\"True Accept Rate\") + theme_minimal()") +
+                                QString(", xlab=\"False Accepts Per Image\", ylab=\"True Accept Rate\") + theme_minimal()") +
                                 (p.major.size > 1 ? getScale("colour", p.major.header, p.major.size) : QString()) +
                                 (p.minor.size > 1 ? QString(" + scale_linetype_discrete(\"%1\")").arg(p.minor.header) : QString()) +
-                                QString(" + scale_x_log10(labels=percent) + scale_y_continuous(labels=percent, limits=c(0,1)) + annotation_logticks(sides=\"b\") + ggtitle(\"%1\") + theme(legend.position=\"bottom\")\n\n").arg(type)));
+                                QString(" + scale_x_log10() + scale_y_continuous(labels=percent, limits=c(0,1)) + annotation_logticks(sides=\"b\") + ggtitle(\"%1\") + theme(legend.position=\"bottom\")\n\n").arg(type)));
 
     foreach (const QString &type, QStringList() << "Discrete" << "Continuous")
         p.file.write(qPrintable(QString("qplot(X, Y, data=%1PR%2").arg(type, (p.major.smooth || p.minor.smooth) ? ", geom=\"smooth\", method=loess, level=0.99" : QString(", geom=\"%1\"").arg(plotType)) +
@@ -362,7 +362,7 @@ bool PlotDetection(const QStringList &files, const File &destination, bool show)
                                 QString(", xlab=\"Recall\", ylab=\"Precision\") + theme_minimal()") +
                                 (p.major.size > 1 ? getScale("colour", p.major.header, p.major.size) : QString()) +
                                 (p.minor.size > 1 ? QString(" + scale_linetype_discrete(\"%1\")").arg(p.minor.header) : QString()) +
-                                QString(" + scale_x_continuous(labels=percent, limits=c(0,1)) + scale_y_continuous(labels=percent, limits=c(0,1)) + ggtitle(\"%1\") + theme(legend.position=\"bottom\")\n\n").arg(type)));
+                                QString(" + scale_x_continuous(limits=c(0,1)) + scale_y_continuous(labels=percent, limits=c(0,1)) + ggtitle(\"%1\") + theme(legend.position=\"bottom\")\n\n").arg(type)));
 
     p.file.write(qPrintable(QString("qplot(X, data=Overlap, geom=\"histogram\", position=\"identity\", xlab=\"Overlap\", ylab=\"Frequency\")") +
                             QString(" + theme_minimal() + scale_x_continuous(minor_breaks=NULL) + scale_y_continuous(minor_breaks=NULL) + theme(axis.text.y=element_blank(), axis.ticks=element_blank(), axis.text.x=element_text(angle=-90, hjust=0))") +