Update README.md

README.md

@@ -36,8 +36,7 @@ size_categories:
 ## Dataset Summary
 
 
-The **ImageNet-Hard** 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 is challenging for state-of-the-art vision models, as merely zooming in often fails to enhance their ability to classify images correctly. Consequently, even the most advanced models, such as `CLIP-ViT-L/14@336px`, struggle to perform well on this dataset, achieving only `2.02%` accuracy.
+**ImageNet-Hard** 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.
 
 
 ### Dataset Distribution
@@ -50,15 +49,20 @@ This dataset is challenging for state-of-the-art vision models, as merely zoomin
 
 | Model               | Accuracy |
 | ------------------- | -------- |
+| AlexNet             | 7.34     |
+| VGG-16              | 12.00    |
 | ResNet-18           | 10.86    |
 | ResNet-50           | 14.74    |
 | ViT-B/32            | 18.52    |
-| VGG19               | 11.99    |
-| AlexNet             | 7.34     |
-| EfficientNet-B0     | 16.58    |
-| EfficientNet-L2-Ns  | 39.00    |
+| EfficientNet-B0     | 16.57    |
+| EfficientNet-B7     | 16.57    |
+| EfficientNet-L2-Ns  | 23.20    |
 | CLIP-ViT-L/14@224px | 1.86     |
 | CLIP-ViT-L/14@336px | 2.02     |
+| OpenCLIP-ViT-bigG-14 | 15.93     |
+| OpenCLIP-ViT-L-14 | 15.60    |
+
+
 
 **Evaluation Code**
 
@@ -1114,7 +1118,7 @@ This dataset is a validation-only set.
 
 ### Source Data
 
-This dataset is sourced from ImageNet, ImageNet-ReaL, ImageNet-A, ImageNet-C, ImageNet-R, ImageNet-Sketch, and ObjectNet.
+This dataset is sourced from ImageNet, ImageNet-ReaL, ImageNet-V2, ImageNet-A, ImageNet-C, ImageNet-R, ImageNet-Sketch, and ObjectNet.
 
 ## Citation Information