diff --git a/timm/data/config.py b/timm/data/config.py
index 8a83d19f..dbae0da7 100644
--- a/timm/data/config.py
+++ b/timm/data/config.py
@@ -35,8 +35,6 @@ def resolve_data_config(args, default_cfg={}, model=None, verbose=True):
 
     # resolve dataset + model mean for normalization
     new_config['mean'] = IMAGENET_DEFAULT_MEAN
-    if 'model' in args:
-        new_config['mean'] = get_mean_by_model(args['model'])
     if 'mean' in args and args['mean'] is not None:
         mean = tuple(args['mean'])
         if len(mean) == 1:
@@ -49,8 +47,6 @@ def resolve_data_config(args, default_cfg={}, model=None, verbose=True):
 
     # resolve dataset + model std deviation for normalization
     new_config['std'] = IMAGENET_DEFAULT_STD
-    if 'model' in args:
-        new_config['std'] = get_std_by_model(args['model'])
     if 'std' in args and args['std'] is not None:
         std = tuple(args['std'])
         if len(std) == 1:
@@ -74,23 +70,3 @@ def resolve_data_config(args, default_cfg={}, model=None, verbose=True):
             logging.info('\t%s: %s' % (n, str(v)))
 
     return new_config
-
-
-def get_mean_by_model(model_name):
-    model_name = model_name.lower()
-    if 'dpn' in model_name:
-        return IMAGENET_DPN_STD
-    elif 'ception' in model_name or ('nasnet' in model_name and 'mnasnet' not in model_name):
-        return IMAGENET_INCEPTION_MEAN
-    else:
-        return IMAGENET_DEFAULT_MEAN
-
-
-def get_std_by_model(model_name):
-    model_name = model_name.lower()
-    if 'dpn' in model_name:
-        return IMAGENET_DEFAULT_STD
-    elif 'ception' in model_name or ('nasnet' in model_name and 'mnasnet' not in model_name):
-        return IMAGENET_INCEPTION_STD
-    else:
-        return IMAGENET_DEFAULT_STD