Update README.md

README.md

@@ -1,3 +1,32 @@
----
-license: agpl-3.0
----
+---
+license: agpl-3.0
+---
+
+![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F%25E5%259B%25BE-39.png&w=640&q=75)
+
+## YOLOv5n: Object Detection
+
+YOLOv5 is a one-stage structure target detection network framework, in which the main structure consists of 4 parts, including the network backbone composed of modified CSPNet, the high-resolution feature fusion module composed of FPN (Feature Paramid Network), composed of SPP (Spatial Pyramid Pooling) constitutes a pooling module, and three different detection heads are used to detect targets of different sizes.
+
+### Source model
+
+- Input shape: 640x640
+- Number of parameters: 1.968M
+- Model size: 7.56 MB
+- Output shape: 1x25200x85
+
+Source model repository: [yolov5](https://github.com/ultralytics/yolov5)
+
+## Performance Reference
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## Inference & Model Conversion
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## License
+
+- Source Model: [AGPL-3.0](https://github.com/ultralytics/yolov5/blob/master/LICENSE)
+
+- Deployable Model: [AGPL-3.0](https://github.com/ultralytics/yolov5/blob/master/LICENSE)