diff --git a/scripts_dataset_and_results/make_metric_plots.py b/scripts_dataset_and_results/make_metric_plots.py
deleted file mode 100644
index 5ac393e..0000000
--- a/scripts_dataset_and_results/make_metric_plots.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import os
-import numpy as np
-import matplotlib as mpl
-import matplotlib.pyplot as plt
-import pandas as pd
-import argparse
-
-# Parse command-line arguments
-parser = argparse.ArgumentParser(
-    description='Create a bunch of plot from the metrics in a CSV.',
-    formatter_class=argparse.ArgumentDefaultsHelpFormatter)
-parser.add_argument('csv',
-                    help='CSV file with the precision and recall results.')
-parser.add_argument('out',
-                    help='Output directory.')
-parser.add_argument('--title',
-                    default='',
-                    help='Title of the plot in the figure.')
-parser.add_argument('--th',
-                    type=float,
-                    required=True,
-                    help='Detection threshold tau. The closest to this value will be used.')
-parser.add_argument('--rs',
-                    type=str,
-                    required=True,
-                    help='List of values, each with different colors in the scatter plot. '
-                         'Maximum distance to consider a True Positive. '
-                         'The closest to this value will be used.')
-args = parser.parse_args()
-
-
-figs = metrics.make_metric_plots(csv_path=csv,
-                                 th=args.th,
-                                 rs=args.rs,
-                                 title=args.title)
-
-for key, fig in figs:
-    # Save to disk
-    fig.savefig(os.path.join(args.out, f'{fig}.png'))
-