No labels found in /opt/C/v8-main/ultralytics/models/yolo/detect/datasets/UCAS_AOD/labels.cache, can not start training.
时间: 2023-08-11 19:09:00 浏览: 119
问题解决的方法是通过修改代码,确保在指定的文件夹中包含了正确的图像数据和标注信息。具体来说,需要创建两个文件夹:images和labels,并在这两个文件夹中分别创建train和val文件夹。然后,将图像数据和标注信息分别放置在对应的文件夹中。在训练时,修改yaml文件,将train和val的路径指向正确的文件夹。这样就可以解决"No labels found"的问题了。\[2\]
此外,需要注意的是,YOLOv5模型在小任务上的精度与YOLOv4大致相同,但在较大的任务上,YOLOv4的性能更高。因此,如果对精度要求不是特别高,YOLOv5是一个适合部署在边缘设备上的选择。\[3\]
#### 引用[.reference_title]
- *1* [一步真实解决AssertionError: train: No labels in /xxx/xxx/xxx/datasets/VOC_To_YOLO/train.cache.](https://blog.csdn.net/Thebest_jack/article/details/125647537)[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^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* *3* [使用yolov5时出现“assertionerror:no labels found in */*/*/JPEGImages.cache can not train without ...](https://blog.csdn.net/llh_1178/article/details/114528795)[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^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
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