diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -449,6 +449,7 @@ Several different techniques can be used to count the number of objects in an im
 * [CG-Net](https://github.com/WeiZongqi/CG-Net) -> Learning Calibrated-Guidance for Object Detection in Aerial Images
 * [OrientedRepPoints_DOTA](https://github.com/hukaixuan19970627/OrientedRepPoints_DOTA) -> Oriented RepPoints + Swin Transformer/ReResNet
 * [yolov5_obb](https://github.com/hukaixuan19970627/yolov5_obb) -> yolov5 + Oriented Object Detection
+* [How to Train YOLOv5 OBB](https://blog.roboflow.com/yolov5-for-oriented-object-detection/) -> YOLOv5 OBB tutorial and [YOLOv5 OBB noteboook](https://colab.research.google.com/drive/16nRwsioEYqWFLBF5VpT_NvELeOeupURM#scrollTo=1NZxhXTMWvek)
 * [OHDet_Tensorflow](https://github.com/SJTU-Thinklab-Det/OHDet_Tensorflow) -> can be applied to rotation detection and object heading detection
 * [Seodore](https://github.com/nijkah/Seodore) -> framework maintaining recent updates of mmdetection
 * [Rotation-RetinaNet-PyTorch](https://github.com/HsLOL/Rotation-RetinaNet-PyTorch) -> oriented detector Rotation-RetinaNet implementation on Optical and SAR ship dataset