yolov5 mosaic
时间: 2023-09-11 20:09:59 浏览: 48
Yolov5中的mosaic指的是一种图像增强技术,通过将四张图片整合到一起形成一张大图片来增加数据的多样性。这种技术可以大大丰富训练数据的样本,降低模型对多样性学习的难度。在Yolov5中,mosaic的实现位于datasets.py文件中的load_mosaic()函数中。该函数的输入是当前训练的图片序号,输出是一幅经过mosaic图像增强的图片及其对应的标签。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [yolov5-mosaic图像增强技术详解](https://blog.csdn.net/pangxing6491/article/details/125315041)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [YOLOv5输入端(一)—— Mosaic数据增强|CSDN创作打卡](https://blog.csdn.net/weixin_55073640/article/details/122853743)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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