Update README.md

README.md

@@ -39,7 +39,9 @@ size_categories:
 **ImageNet-Hard-4K** is 4K version of the original [**ImageNet-Hard**](https://huggingface.co/datasets/taesiri/imagenet-hard) dataset, which is a new benchmark that comprises 10,980 images collected from various existing ImageNet-scale benchmarks (ImageNet, ImageNet-V2, ImageNet-Sketch, ImageNet-C, ImageNet-R, ImageNet-ReaL, ImageNet-A, and ObjectNet). This dataset poses a significant challenge to state-of-the-art vision models as merely zooming in often fails to improve their ability to classify images correctly. As a result, even the most advanced models, such as `CLIP-ViT-L/14@336px`, struggle to perform well on this dataset, achieving a mere `2.02%` accuracy.
 
 
-"We employed [GigaGAN](https://mingukkang.github.io/GigaGAN/) to upscale each image from the original ImageNet-Hard dataset to a resolution of 4K."
+## Upscaling Procedure
+
+We employed [GigaGAN](https://mingukkang.github.io/GigaGAN/) to upscale each image from the original ImageNet-Hard dataset to a resolution of 4K.
 
 
 ### Dataset Distribution