diff --git a/README.md b/README.md
index b3214028baff7f1f5f762550bdb294b7cfc58620..e32016cd489ac42729951f8ed7991f8e746129a9 100644
--- a/README.md
+++ b/README.md
@@ -216,6 +216,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
 [YOLOv3](cv/detection/yolov3/pytorch/README.md)  | PyTorch | COCO
 [YOLOv3](cv/detection/yolov3/paddlepaddle/README.md)  | PaddlePaddle | COCO
 [YOLOv3](cv/detection/yolov3/tensorflow/README.md)  | TensorFlow | VOC
+[YOLOv5](cv/detection/yolov5/paddlepaddle/README.md)  | PaddlePaddle | COCO
 [YOLOv5](cv/detection/yolov5/pytorch/README.md)  | PyTorch | COCO
 [YOLOv6](cv/detection/yolov6/pytorch/README.md)  | PyTorch | COCO
 [YOLOv7](cv/detection/yolov7/pytorch/README.md)  | PyTorch | COCO
diff --git a/cv/detection/yolov5/paddlepaddle/README.md b/cv/detection/yolov5/paddlepaddle/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..ad81dc9d70ef3020065c16b3b96ab4eba6f0a604
--- /dev/null
+++ b/cv/detection/yolov5/paddlepaddle/README.md
@@ -0,0 +1,39 @@
+# YOLOv5
+
+## Model description
+
+YOLOv5 is the world's most loved vision AI, representing <a href="https://ultralytics.com">Ultralytics</a> open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.
+
+## Step 1: Installation
+
+```bash
+cd deepsparkhub/cv/detection/yolov5/paddlepaddle/
+git clone -b release/2.5 https://github.com/PaddlePaddle/PaddleYOLO.git
+cd PaddleYOLO/
+pip3 install -r requirements.txt
+python3 setup.py develop
+```
+
+## Step 2: Preparing datasets
+
+```bash
+python3 dataset/coco/download_coco.py
+```
+
+## Step 3: Training
+
+```bash
+# Make sure your dataset path is the same as above
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+# Select $config_yaml from "configs/yolov5" as you wish
+config_yaml=configs/yolov5/yolov5_s_300e_coco.yml
+python3 -m paddle.distributed.launch --gpus 0,1,2,3,4,5,6,7 tools/train.py -c ${config_yaml} --amp --eval
+```
+
+## Results
+GPUs|Model|FPS|ACC
+----|---|---|---
+BI-V100 x8|YOLOv5-n| 10.9788 images/s | bbox ap: 0.259
+
+## Reference
+- [PaddleYOLO](https://github.com/PaddlePaddle/PaddleYOLO)