The "Resize Images" page within Dataset Tools provides a easy and fast way to automatically resize (downscale and upscale, if necessary) images in parallel while keeping the original image aspect ratio.

Using this page, you can:

• Resize Images for AI training: Resize images to better fit the resolution supported by popular AI training scripts and tools.

When using the "Resize Images" feature, you can customize the following options:

1. Dimension Size for Output Cropped Images: Specify the desired size for the output cropped images.

2. Lanczos Sampler Radius: Set the Lanczos sampler radius for image resizing; higher values takes a lot longer to process but could potentially keep more details from the original image.

3. Sharpen Sigma: Enable this option when downscaling very large images (e.g., 4K to 512x512) to enhance image quality.

4. Minimum Original Image Size to Apply Sharpen Sigma: Define the minimum original image size to which the Sharpen Sigma option will be applied.

1. Select Input and Output Folders: Start by specifying the input folder containing your images and the output folder where the resized images will be saved.

2. Configure Settings: Adjust the configuration options mentioned above based on your specific requirements. Note that recommended starting settings are already pre-configured to help you get started quickly.

3. Resize Images: Click the "Resize" button to initiate the resizing process.

• Experiment with different configuration settings to achieve the best results for your dataset.

The "Resize Images" feature streamlines the process of resizing images, making it an essential tool for creating high-quality datasets.