K210训练数据集制作

K210训练数据集制作的步骤如下：首先，准备数据集，将K210采集的图片放入一个新建的文件夹中。然后，打开YOLOV3工具集，进行打标签操作，选择标签集保存地址。完成标注后，准备训练工作，开始训练。训练完成后，将.h5和.tflite文件复制到标签集和数据集的目录下。接下来，将训练完成后弹出的文件夹下的lable.txt和anchors.txt文件以及模型转化成功后的.kmodel文件复制到SD卡中。最后，编写boot.py程序。这样就完成了K210训练数据集制作的过程。\[2\]
#### 引用[.reference_title]
- *1* [【实战】K210训练与部署YOLO目标检测模型](https://blog.csdn.net/qq_39784672/article/details/118528303)[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^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [K210训练模型](https://blog.csdn.net/qq_42733748/article/details/124124451)[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^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [k210——Maixhub 云端模型训练](https://blog.csdn.net/weixin_56321457/article/details/126283740)[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^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
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