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+# YOLOv5
+
+## Model description
+
+WOLOv5 🚀 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.
+
+We hope that the resources here will help you get the most out of YOLOv5. Please browse the YOLOv5 <a href="https://docs.ultralytics.com/yolov5">Docs</a> for details, raise an issue on <a href="https://github.com/ultralytics/yolov5/issues/new/choose">GitHub</a> for support, and join our <a href="https://ultralytics.com/discord">Discord</a> community for questions and discussions!
+
+To request an Enterprise License please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).
+
+## Step 1: Installing
+
+```bash
+git clone --recursive -b release/2.6 https://github.com/PaddlePaddle/PaddleYOLO.git
+cd PaddleYOLO
+pip3 install -r requirements.txt  # install
+```
+
+## Step 2: Download data
+
+```bash
+python3 dataset/coco/download_coco.py
+```
+
+## Step 3: Run YOLOv5
+
+```bash
+# Make sure your dataset path is the same as above
+cd PaddleDetection
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+python3 -m paddle.distributed.launch --gpus 0,1,2,3,4,5,6,7 tools/train.py -c configs/yolov5/yolov5_s_300e_coco.yml --eval
+```
+
+## Reference
+- [PaddleYOLO](https://github.com/PaddlePaddle/PaddleYOLO)
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