img_size about ultralytics HOT 1 OPEN

@VijayRajIITP hello! 👋

The img_size parameter specifies the size (width and height) that your input images are resized to before being fed into the model during training. This resizing helps standardize input dimensions for the neural network, ensuring consistent processing of all images.

Increasing img_size can improve results because it provides the model with more detailed, higher-resolution images. This allows the model to potentially capture more nuanced features, leading to better detection performance. However, larger image sizes also require more computational resources and may increase training time.

Here's a quick example of how to set img_size:

yolo train data=coco128.yaml model=yolov8n.pt imgsz=640

In this command, we're setting the image size to 640x640 during training with the YOLOv8 model.

Hope this helps! Let us know if you have any more questions. 😊

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