Does yolov5 need to add additional negative samples? In addition, what is the label format of negative samples

[luoyq6]

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Does yolov5 need to add additional negative samples? In addition, what is the label format of negative samples

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[glenn-jocher]

@luoyq6 hello!

Thank you for your question and for checking the existing issues and discussions before posting.

Regarding your query about adding negative samples to YOLOv5:

1. Need for Negative Samples: YOLOv5 does not strictly require additional negative samples (images without any objects of interest) for training. However, including them can be beneficial in certain scenarios. Negative samples can help the model learn to distinguish between background and objects more effectively, potentially improving its performance in real-world applications.

2. Label Format for Negative Samples: For negative samples, you simply need to include the images in your dataset without any corresponding label files. In other words, if an image does not contain any objects of interest, you do not need to create a .txt file for it. YOLOv5 will automatically treat these images as negative samples during training.

Here's a quick example:

• Positive Sample: image1.jpg with a corresponding image1.txt containing object labels.
• Negative Sample: image2.jpg without any corresponding image2.txt.

If you have any further questions or need additional clarification, feel free to ask! We're here to help. 😊