image size

[inginfor]

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Question

When training a YOLOv5s model by specifying the image size, the image size should be the actual size of the images in the dataset or the size to which you want to resize before inputting them to the network?

I have images that have different sizes and I would like to resize them to 640, which would be the size of yolov5's input. This is already done automatically, if you run the command !python train.py --img 640 will the images be automatically resized?

Additional

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[glenn-jocher]

@inginfor when training a YOLOv5 model, the --img parameter specifies the input resolution of the images, which is the size to which you want to resize the images before inputting them to the network. If you run the command python train.py --img 640, the images will be automatically resized to a resolution of 640x640.

In your case, if you have images with different sizes and you want to resize them to 640x640, setting --img 640 will resize the images to the desired resolution during training.

[inginfor]

thanks and sorry for the question

[glenn-jocher]

@inginfor you're welcome! No need to apologize for asking questions. We're here to help. If you have any more questions, feel free to ask.

[github-actions]

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[nealresearch]

Hi, So when we resize our image with varying size to 640 then the polygon(for segmentation) are also scaled to match the resized image, correct?

[glenn-jocher]

Yes, when images are resized to 640x640, the polygons for segmentation are also scaled accordingly to match the resized images.