diff --git a/train.py b/train.py
index eb69ae1e..4833eebf 100644
--- a/train.py
+++ b/train.py
@@ -24,7 +24,7 @@ results_file = 'results.txt'
 hyp = {'giou': 3.31,  # giou loss gain
        'cls': 42.4,  # cls loss gain
        'cls_pw': 1.0,  # cls BCELoss positive_weight
-       'obj': 64.0,  # obj loss gain (*=img_size/320 if img_size != 320)
+       'obj': 52.0,  # obj loss gain (*=img_size/320 if img_size != 320)
        'obj_pw': 1.0,  # obj BCELoss positive_weight
        'iou_t': 0.213,  # iou training threshold
        'lr0': 0.00261,  # initial learning rate (SGD=1E-3, Adam=9E-5)
@@ -417,8 +417,8 @@ if __name__ == '__main__':
     print(opt)
     device = torch_utils.select_device(opt.device, apex=mixed_precision)
 
-    # scale hyp['obj'] by img_size (evolved at 512)
-    hyp['obj'] *= opt.img_size / 512.
+    # scale hyp['obj'] by img_size (evolved at 416)
+    hyp['obj'] *= opt.img_size / 416.
 
     tb_writer = None
     if not opt.evolve:  # Train normally