diff --git a/README.md b/README.md
index 44e7efd1..c274078b 100755
--- a/README.md
+++ b/README.md
@@ -43,7 +43,7 @@ Python 3.7 or later with the following `pip3 install -U -r requirements.txt` pac
 
 # Jupyter Notebook
 
-Use our Jupyter [notebook](https://github.com/ultralytics/yolov3/blob/master/ultralytics_YOLOv3.ipynb) to quickly get started with training, inference and testing examples.
+Use our Jupyter [notebook](https://github.com/ultralytics/yolov3/blob/master/examples.ipynb) to quickly get started with training, inference and testing examples.
 
 # Training
 
diff --git a/ultralytics_YOLOv3.ipynb b/examples.ipynb
similarity index 100%
rename from ultralytics_YOLOv3.ipynb
rename to examples.ipynb
diff --git a/requirements.txt b/requirements.txt
index ad0ae88c..14bae566 100755
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,7 +1,7 @@
 # pip3 install -U -r requirements.txt
 # conda install numpy opencv matplotlib tqdm pillow
 # conda install pytorch torchvision -c pytorch
-# conda install -c conda-forge scikit-image
+# conda install scikit-image -c conda-forge
 numpy
 opencv-python
 torch >= 1.1.0
diff --git a/utils/utils.py b/utils/utils.py
index 57860b44..5fa757db 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -580,7 +580,7 @@ def kmeans_targets(path='./data/coco_64img.txt', n=9, img_size=320):  # from uti
     k = cluster.vq.kmeans(wh, n)[0]
     k = k[np.argsort(k.prod(1))]
     for x in k.ravel():
-        print('%.1f, ' % x, end='')
+        print('%.1f, ' % x, end='')  # drop-in replacement for *.cfg anchors
 
 
 # Plotting functions ---------------------------------------------------------------------------------------------------