Comments (1)
@ghost hello,
Thank you for your enthusiasm, but it seems like your comment is not related to any issues or features of the YOLOv5 repository. This space is dedicated to discussing YOLOv5, a state-of-the-art object detection model, and addressing any questions or issues related to it.
If you have any questions or need assistance with YOLOv5, please feel free to provide more details, and we'd be happy to help. For any other topics, we recommend using the appropriate forums or platforms.
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Related Issues (20)
- After the YOLOv5 version update, does it affect model performance? HOT 5
- yolov5 Youtube playback error HOT 5
- A Problem Concerning the Custom Dataset for Object Detection Using YOLOv5 HOT 7
- The necessity of improving the visual images of the detect results HOT 10
- 运行 python detect.py --source ./data/images/ --weights weights/yolov5s.pt 报错 HOT 3
- what's going on yolo v5? HOT 4
- Model distillation for yolov5 HOT 20
- 'list' object has no attribute 'shape' HOT 3
- Train in colab and detect in my computer HOT 3
- YOLOv5 receptive range size HOT 8
- Yolov5s versus Yolov5s-cls HOT 4
- Edition!!**$950 Free Cash App Money Generator 2024 No Human Verification HOT 2
- How can I test/evaluate my custom model and custom dataset when my model is loaded via torch.hub? HOT 5
- ∯Today's!!~ Candy Crush Saga Hack - Get Free Gold In Candy Crush Saga 2024 iOS/Android HOT 1
- how to convert pt to onnx to trt HOT 7
- I observe that the validation phase is much slower than the training phase on large validation sets and multi-GPU machines HOT 6
- neck HOT 4
- How to increase FPS camera capture inside the Raspberry Pi 4B 8GB with best.onnx model HOT 13
- Mosaic HOT 5
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