yolov8旋转检测

目前的YOLOv8算法在旋转检测方面还没有具体的改进方法被提出。目前的改进方法主要集中在YOLOv5和YOLOv7算法上。YOLOv5系列的改进方法可以在YOLOv7上同样适用，而YOLOv7在遥感物体检测领域探索了大选择性卷积核机制的工作，提出了LSKNet算法，该算法在多个数据集上取得了较好的性能表现，如HRSC2016（98.46% mAP）、DOTA-v1.0（81.64% mAP）和FAIR1M-v1.0（47.87% mAP）。所以，如果您需要进行旋转检测，可以考虑使用YOLOv7和LSKNet算法来达到更好的效果。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn系列算法改进【NO.66】改进为旋转目标框检测](https://blog.csdn.net/m0_70388905/article/details/130178537)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
- *3* [Yolov8 引入ICCV 2023 | 南开大学提出LSKNet：遥感旋转目标检测新SOTA | 助力backbone](https://blog.csdn.net/m0_63774211/article/details/131933263)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
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