Update README.md

README.md

@@ -31,16 +31,16 @@ It seems like using random crops helped the model to generalize better, however,
 
 We did a small eval test with ~5000 images on the current available AI image detectors. **Note that these models were not specificly trained on anime images.**
 
-| Model                                        | Accuracy     |
-|----------------------------------------------|--------------|
-| dima806/ai_vs_real_image_detection           | 35,97%       |
-| Organika/sdxl-detector                       | 43,29%       |
-| Nahrawy/AIorNot                              | 64,74%       |
-| jacoballessio/ai-image-detect-distilled      | 68,94%       |
-| umm-maybe/AI-image-detector                  | 75,45%       |
-| mmanikanta/VIT_AI_image_detector             | 79,65%       |
-| *legekka/AI-Anime-Image-Detector-HD-ViT WIP* | *94,26%*     |
-| **legekka/AI-Anime-Image-Detector-ViT**      | **94,68%**   |
+| Model                                          | Accuracy   |
+|------------------------------------------------|------------|
+| dima806/ai_vs_real_image_detection             | 35,97%     |
+| Organika/sdxl-detector                         | 43,29%     |
+| Nahrawy/AIorNot                                | 64,74%     |
+| jacoballessio/ai-image-detect-distilled        | 68,94%     |
+| umm-maybe/AI-image-detector                    | 75,45%     |
+| mmanikanta/VIT_AI_image_detector               | 79,65%     |
+| *legekka/AI-Anime-Image-Detector-HD-ViT WIP*   | *94,26%*   |
+| **legekka/AI-Anime-Image-Detector-ViT (Ours)** | **94,68%** |
 
 ## Usage