diff --git a/samples/data/dnn/object_detection_classes_yolov3.txt b/samples/data/dnn/object_detection_classes_yolov4.txt
similarity index 90%
rename from samples/data/dnn/object_detection_classes_yolov3.txt
rename to samples/data/dnn/object_detection_classes_yolov4.txt
index 941cb4e139..ca76c80b5b 100644
--- a/samples/data/dnn/object_detection_classes_yolov3.txt
+++ b/samples/data/dnn/object_detection_classes_yolov4.txt
@@ -1,8 +1,8 @@
 person
 bicycle
 car
-motorcycle
-airplane
+motorbike
+aeroplane
 bus
 train
 truck
@@ -55,12 +55,12 @@ pizza
 donut
 cake
 chair
-couch
-potted plant
+sofa
+pottedplant
 bed
-dining table
+diningtable
 toilet
-tv
+tvmonitor
 laptop
 mouse
 remote
diff --git a/samples/dnn/models.yml b/samples/dnn/models.yml
index 86e86925df..f6e9f0e41f 100644
--- a/samples/dnn/models.yml
+++ b/samples/dnn/models.yml
@@ -23,16 +23,16 @@ opencv_fd:
 # Might be used for all YOLOv2, TinyYolov2, YOLOv3, YOLOv4 and TinyYolov4
 yolo:
   load_info:
-    url: "https://pjreddie.com/media/files/yolov3.weights"
-    sha1: "520878f12e97cf820529daea502acca380f1cb8e"
-  model: "yolov3.weights"
-  config: "yolov3.cfg"
+    url: "https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights"
+    sha1: "0143deb6c46fcc7f74dd35bf3c14edc3784e99ee"
+  model: "yolov4.weights"
+  config: "yolov4.cfg"
   mean: [0, 0, 0]
   scale: 0.00392
   width: 416
   height: 416
   rgb: true
-  classes: "object_detection_classes_yolov3.txt"
+  classes: "object_detection_classes_yolov4.txt"
   sample: "object_detection"
 
 tiny-yolo-voc: