diff --git a/utils/datasets.py b/utils/datasets.py
index e559f987..ec15b93c 100755
--- a/utils/datasets.py
+++ b/utils/datasets.py
@@ -410,7 +410,7 @@ def letterbox(img, new_shape=416, color=(128, 128, 128), mode='auto'):
         ratiow, ratioh = new_shape / shape[1], new_shape / shape[0]
 
     if shape[::-1] != new_unpad:  # resize
-        img = cv2.resize(img, new_unpad, interpolation=cv2.INTER_LINEAR)  # INTER_AREA is better, INTER_LINEAR is faster
+        img = cv2.resize(img, new_unpad, interpolation=cv2.INTER_AREA)  # INTER_AREA is better, INTER_LINEAR is faster
     top, bottom = int(round(dh - 0.1)), int(round(dh + 0.1))
     left, right = int(round(dw - 0.1)), int(round(dw + 0.1))
     img = cv2.copyMakeBorder(img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color)  # add border
diff --git a/utils/utils.py b/utils/utils.py
index fdfd760f..d7634d65 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -1,6 +1,7 @@
 import glob
 import os
 import random
+import shutil
 from pathlib import Path
 
 import cv2
@@ -545,6 +546,28 @@ def select_best_evolve(path='evolve*.txt'):  # from utils.utils import *; select
         print(file, x[fitness.argmax()])
 
 
+def coco_single_class_labels(path='../coco/labels/train2014/', label_class=43):
+    # Makes single-class coco datasets. from utils.utils import *; coco_single_class_labels()
+    if os.path.exists('new/'):
+        shutil.rmtree('new/')  # delete output folder
+    os.makedirs('new/')  # make new output folder
+    os.makedirs('new/labels/')
+    os.makedirs('new/images/')
+    for file in tqdm(sorted(glob.glob('%s/*.*' % path))):
+        with open(file, 'r') as f:
+            labels = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)
+        i = labels[:, 0] == label_class
+        if any(i):
+            img_file = file.replace('labels', 'images').replace('txt', 'jpg')
+            labels[:, 0] = 0  # reset class to 0
+            with open('new/images.txt', 'a') as f:  # add image to dataset list
+                f.write(img_file + '\n')
+            with open('new/labels/' + Path(file).name, 'a') as f:  # write label
+                for l in labels[i]:
+                    f.write('%g %.6f %.6f %.6f %.6f\n' % tuple(l))
+            shutil.copyfile(src=img_file, dst='new/images/' + Path(file).name.replace('txt', 'jpg'))  # copy images
+
+
 def kmeans_targets(path='./data/coco_64img.txt', n=9, img_size=320):  # from utils.utils import *; kmeans_targets()
     # Produces a list of target kmeans suitable for use in *.cfg files
     img_formats = ['.bmp', '.jpg', '.jpeg', '.png', '.tif']