Update README.md

README.md

@@ -29,16 +29,17 @@ It seems like using random crops helped the model to generalize better, however,
 
 ## Performance comparison
 
-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 |
-|------------------------------------------|----------|
-| jacoballessio/ai-image-detect-distilled  | 68,94%   |
-| mmanikanta/VIT_AI_image_detector         | 79,65%   |
-| Organika/sdxl-detector                   | 43,29%   |
-| umm-maybe/AI-image-detector              | 75,45%   |
-| Nahrawy/AIorNot                          | 64,74%   |
-| *legekka/AI-Anime-Image-Detector-HD-ViT WIP* | *94,26%*   |
+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%**   |
 
 ## Usage