<ul><li>The Fréchet Inception Distance (FID) score is crucial for evaluating the quality of generated images in GANs but typically requires RGB images, posing a challenge for single-channel images like those in the MNIST dataset.</li><li>To compute the FID score for single-channel MNIST images, one must convert them to three-channel format by duplicating the single channel across the RGB channels.</li><li>Steps to convert MNIST single-channel images to three channels include importing necessary libraries, loading the dataset, normalization, and using TensorFlow for FID score calculation.</li><li>Converting MNIST single-channel images to RGB format enables effective FID score computation, allowing better evaluation of GAN models and adherence to metric requirements.</li></ul>

How to Calculate FID Score for Single-Channel MNIST Images?

Discover more