Update README.md

README.md

@@ -10,12 +10,12 @@ tags:
 - deepfake
 ---
 # **Deepfake-Quality-Assess-Siglip2**
-Deepfake-Quality-Assess-Siglip2 is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It classifies the quality of deepfake images using the **SiglipForImageClassification** architecture.  
-
-**id2label Mapping:**  
-- **0**: "Issue in Deepfake"  
-- **1**: "High-Quality Deepfake"
+**Deepfake-Quality-Assess-Siglip2** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to assess the quality of deepfake images using the **SiglipForImageClassification** architecture.  
 
+The model categorizes images into two classes:  
+- **Class 0:** "Issue in Deepfake" – indicating that the deepfake image has noticeable flaws or inconsistencies.  
+- **Class 1:** "High-Quality Deepfake" – indicating that the deepfake image is of high quality and appears more realistic.
+  
 ```python
 !pip install -q transformers torch pillow gradio
 ```