diff --git a/create_result_figures.py b/create_result_figures.py
new file mode 100644
index 0000000..235efd9
--- /dev/null
+++ b/create_result_figures.py
@@ -0,0 +1,21 @@
+import numpy as np
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import pandas as pd
+
+# Data extraction
+data = pd.read_excel("/Users/dguera/Desktop/test.xlsx")
+pr_crowd = data["Precision (crowd)"].as_matrix(range(len(data["Precision (crowd)"])))
+r_crowd = data["Recall (crowd)"].as_matrix(range(len(data["Recall (crowd)"])))
+r = data["r"].as_matrix(range(len(data["r"])))
+
+#  Create the figure for "Crowd" Dataset
+fig, ax = plt.subplots()
+precision = ax.plot(r, pr_crowd, 'r--',label='Precision')
+recall = ax.plot(r, r_crowd,  'b:',label='Recall')
+ax.legend()
+ax.set_ylabel('Percentatge')
+ax.set_xlabel(r'$r$ (in pixels)')
+ax.grid(True)
+fig.savefig('/Users/dguera/Desktop/plot.eps')
+#plt.show()
diff --git a/generate_csv.py b/generate_csv.py
index bb4cce0..e047097 100644
--- a/generate_csv.py
+++ b/generate_csv.py
@@ -22,8 +22,10 @@
     os.makedirs('validate')
 
 dirs = [i for i in range(1, 18)]
+dirs.pop(11)
 
-for dirnum in tqdm(dirs):
+filecounter = 0
+for dirnum in dirs:
     dirname = 'dataset' + str(dirnum).zfill(2)
     
     fd = open(os.path.join(dirname,'gt.txt'))
@@ -88,4 +90,3 @@
 validate_df.to_csv('validate.csv')
 shutil.move('validate.csv', 'validate')
 
-