diff --git a/fluid/PaddleCV/yolov3/models.py b/fluid/PaddleCV/yolov3/models.py
index 5f238db3ee6569a02c347d54c1c707060dea8551..5dbd6d02621ed52e11ec36c778c312a0aafe4e4d 100644
--- a/fluid/PaddleCV/yolov3/models.py
+++ b/fluid/PaddleCV/yolov3/models.py
@@ -210,6 +210,7 @@ class YOLOv3(object):
                             class_num=class_num,
                             ignore_thresh=ignore_thresh,
                             downsample=self.downsample,
+                            use_label_smooth=cfg.label_smooth,
                             name="yolo_loss"+str(i))
                     self.losses.append(fluid.layers.reduce_mean(loss))
                     self.downsample //= 2
diff --git a/fluid/PaddleCV/yolov3/utility.py b/fluid/PaddleCV/yolov3/utility.py
index 4f579e1350f32e31acf9fa4b6a02118f9da44652..92ba7f8e766d6bdca5534fa90f1c21fc935d521f 100644
--- a/fluid/PaddleCV/yolov3/utility.py
+++ b/fluid/PaddleCV/yolov3/utility.py
@@ -112,7 +112,8 @@ def parse_args():
     add_arg('log_window',       int,    20,        "Log smooth window, set 1 for debug, set 20 for train.")
     # TRAIN TEST INFER
     add_arg('input_size',       int,    608,    "Image input size of YOLOv3.")
-    add_arg('random_shape',     bool,   False,     "Resize to random shape for train reader")
+    add_arg('random_shape',     bool,   True,     "Resize to random shape for train reader.")
+    add_arg('label_smooth',     bool,   True,     "Use label smooth in class label.")
     add_arg('no_mixup_iter',    int,    40000,      "Disable mixup in last N iter.")
     add_arg('valid_thresh',     float,  0.01,    "Valid confidence score for NMS.")
     add_arg('nms_thresh',       float,  0.45,    "NMS threshold.")