diff --git a/ppcls/arch/backbone/model_zoo/convnext.py b/ppcls/arch/backbone/model_zoo/convnext.py
index f30894eab526b8deb5e61a964dc287415f1b1a02..d074f3668e762ed9d3b70241e0bb4765545fba93 100644
--- a/ppcls/arch/backbone/model_zoo/convnext.py
+++ b/ppcls/arch/backbone/model_zoo/convnext.py
@@ -1,24 +1,16 @@
-# MIT License
+# copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
 #
-# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
 #
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
+#    http://www.apache.org/licenses/LICENSE-2.0
 #
-# The above copyright notice and this permission notice shall be included in all
-# copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-# SOFTWARE.
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 #
 # Code was heavily based on https://github.com/facebookresearch/ConvNeXt
 
@@ -138,7 +130,7 @@ class Block(nn.Layer):
 
 class ConvNeXt(nn.Layer):
     r""" ConvNeXt
-        A PyTorch impl of : `A ConvNet for the 2020s`  -
+        A PaddlePaddle impl of : `A ConvNet for the 2020s`  -
           https://arxiv.org/pdf/2201.03545.pdf
 
     Args:
diff --git a/ppcls/arch/backbone/model_zoo/peleenet.py b/ppcls/arch/backbone/model_zoo/peleenet.py
index a09091af23d7d2a67c2f8303b4f8c119f77e8593..d4a08e484c99b662e85e75494cf66cdca62ac16c 100644
--- a/ppcls/arch/backbone/model_zoo/peleenet.py
+++ b/ppcls/arch/backbone/model_zoo/peleenet.py
@@ -1,24 +1,16 @@
 # copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
 #
-# MIT License
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
 #
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
+#    http://www.apache.org/licenses/LICENSE-2.0
 #
-# The above copyright notice and this permission notice shall be included in all
-# copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-# SOFTWARE.
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 #
 # Code was heavily based on https://github.com/Robert-JunWang/PeleeNet
 # reference: https://arxiv.org/pdf/1804.06882.pdf
@@ -33,7 +25,7 @@ from paddle.nn.initializer import Normal, Constant
 from ppcls.utils.save_load import load_dygraph_pretrain, load_dygraph_pretrain_from_url
 
 MODEL_URLS = {
-    "peleenet": ""  # TODO
+    "PeleeNet": ""  # TODO
 }
 
 __all__ = MODEL_URLS.keys()
@@ -235,5 +227,5 @@ def _load_pretrained(pretrained, model, model_url, use_ssld):
 
 def PeleeNet(pretrained=False, use_ssld=False, **kwargs):
     model = PeleeNetDY(**kwargs)
-    _load_pretrained(pretrained, model, MODEL_URLS["peleenet"], use_ssld)
+    _load_pretrained(pretrained, model, MODEL_URLS["PeleeNet"], use_ssld)
     return model
diff --git a/ppcls/configs/ImageNet/PeleeNet/PeleeNet.yaml b/ppcls/configs/ImageNet/PeleeNet/PeleeNet.yaml
index 648f97040e36c135d4896386ced20b23d328d746..db2136a0a5090175b54a1391d668ae92e8407359 100644
--- a/ppcls/configs/ImageNet/PeleeNet/PeleeNet.yaml
+++ b/ppcls/configs/ImageNet/PeleeNet/PeleeNet.yaml
@@ -55,6 +55,8 @@ DataLoader:
             channel_first: False
         - RandCropImage:
             size: 224
+            interpolation: bilinear
+            backend: pil
         - RandFlipImage:
             flip_code: 1
         - NormalizeImage:
@@ -83,6 +85,8 @@ DataLoader:
             channel_first: False
         - ResizeImage:
             resize_short: 256
+            interpolation: bilinear
+            backend: pil
         - CropImage:
             size: 224
         - NormalizeImage:
@@ -108,6 +112,8 @@ Infer:
         channel_first: False
     - ResizeImage:
         resize_short: 256
+        interpolation: bilinear
+        backend: pil
     - CropImage:
         size: 224
     - NormalizeImage: