diff --git a/examples/vision/detection/paddledetection/cpp/README.md b/examples/vision/detection/paddledetection/cpp/README.md
index 7f54064f0f..875e8da32f 100644
--- a/examples/vision/detection/paddledetection/cpp/README.md
+++ b/examples/vision/detection/paddledetection/cpp/README.md
@@ -10,26 +10,28 @@
 以Linux上推理为例，在本目录执行如下命令即可完成编译测试
 
 ```
+以ppyoloe为例进行推理部署
+
 #下载SDK，编译模型examples代码（SDK中包含了examples代码）
-wget https://bj.bcebos.com/paddlehub/fastdeploy/libs/0.2.0/fastdeploy-linux-x64-gpu-0.2.0.tgz
+wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz
 tar xvf fastdeploy-linux-x64-gpu-0.2.0.tgz
-cd fastdeploy-linux-x64-gpu-0.2.0/examples/vision/detection/paddledetection
+cd fastdeploy-linux-x64-gpu-0.2.0/examples/vision/detection/paddledetection/cpp
 mkdir build && cd build
 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.0
 make -j
 
 # 下载PPYOLOE模型文件和测试图片
-wget https://bj.bcebos.com/paddlehub/fastdeploy/picodet_l_320_coco_lcnet.tgz
-wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000087038.jpg
-tar xvf picodet_l_320_coco_lcnet.tgz
+wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
+wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
+tar xvf ppyoloe_crn_l_300e_coco.tgz
 
 
 # CPU推理
-./infer_ppyoloe_demo ./picodet_l_320_coco_lcnet 000000087038.jpg 0
+./infer_ppyoloe_demo ./ppyoloe_crn_l_300e_coco 000000014439.jpg 0
 # GPU推理
-./infer_ppyoloe_demo ./picodet_l_320_coco_lcnet 000000087038.jpg 1
+./infer_ppyoloe_demo ./ppyoloe_crn_l_300e_coco 000000014439.jpg 1
 # GPU上TensorRT推理
-./infer_ppyoloe_demo ./picodet_l_320_coco_lcnet 000000087038.jpg 2
+./infer_ppyoloe_demo ./ppyoloe_crn_l_300e_coco 000000014439.jpg 2
 ```
 
 ## PaddleDetection C++接口
diff --git a/examples/vision/detection/paddledetection/python/README.md b/examples/vision/detection/paddledetection/python/README.md
index 7c72e265a5..bbe7db9900 100644
--- a/examples/vision/detection/paddledetection/python/README.md
+++ b/examples/vision/detection/paddledetection/python/README.md
@@ -8,10 +8,11 @@
 本目录下提供`infer_xxx.py`快速完成PPYOLOE/PicoDet等模型在CPU/GPU，以及GPU上通过TensorRT加速部署的示例。执行如下脚本即可完成
 
 ```
+以ppyoloe为例进行推理部署
 
 #下载部署示例代码
 git clone https://github.com/PaddlePaddle/FastDeploy.git
-cd examples/vision/detection/paddledetection/python/
+cd FastDeploy/examples/vision/detection/paddledetection/python/
 
 #下载PPYOLOE模型文件和测试图片
 wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
@@ -19,11 +20,11 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000
 tar xvf ppyoloe_crn_l_300e_coco.tgz
 
 # CPU推理
-python infer.py --model_dir ppyoloe_crn_l_300e_coco --image 000000087038.jpg --device cpu
+python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device cpu
 # GPU推理
-python infer.py --model_dir ppyoloe_crn_l_300e_coco --image 000000087038.jpg --device gpu
+python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device gpu
 # GPU上使用TensorRT推理 （注意：TensorRT推理第一次运行，有序列化模型的操作，有一定耗时，需要耐心等待）
-python infer.py --model_dir ppyoloe_crn_l_300e_coco --image 000000087038.jpg --device gpu --use_trt True
+python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device gpu --use_trt True
 ```
 
 运行完成可视化结果如下图所示