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ultralytics · Oct 17, 2024 · d3b754c · d3b754c
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Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/README.zh-CN.md b/README.zh-CN.md
@@ -181,8 +181,8 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml  -
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 |                                                  Roboflow                                                  |                               ClearML ⭐ 新                                |                                                   Comet ⭐ 新                                                    |                                           Neural Magic ⭐ 新                                           |
-| :--------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------: |
-| 将您的自定义数据集进行标注并直接导出到 YOLOv3 以进行训练 [Roboflow](https://roboflow.com/?ref=ultralytics) | 自动跟踪、可视化甚至远程训练 YOLOv3 [ClearML](https://clear.ml/)（开源！） | 永远免费，[Comet](https://bit.ly/yolov5-readme-comet2)可让您保存 YOLOv3 模型、恢复训练以及交互式可视化和调试预测 | 使用 [Neural Magic DeepSparse](https://bit.ly/yolov5-neuralmagic)，运行 YOLOv3 推理的速度最高可提高6倍 |](https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png)
+| :--------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------: | -------------------------------------------------------------------------------- |
+| 将您的自定义数据集进行标注并直接导出到 YOLOv3 以进行训练 [Roboflow](https://roboflow.com/?ref=ultralytics) | 自动跟踪、可视化甚至远程训练 YOLOv3 [ClearML](https://clear.ml/)（开源！） | 永远免费，[Comet](https://bit.ly/yolov5-readme-comet2)可让您保存 YOLOv3 模型、恢复训练以及交互式可视化和调试预测 | 使用 [Neural Magic DeepSparse](https://bit.ly/yolov5-neuralmagic)，运行 YOLOv3 推理的速度最高可提高6倍 | ](https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png) |
 
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