update: yolov8 desc

app.py

@@ -30,24 +30,25 @@ description_yolov5 = """
 """
 
 description_yolov8 = """
+### Feature Focus Comparison
 
-**Feature Focus for Dogs:** 
-- **Facial Features:**  Strong emphasis on **eyes, nose, and mouth**, aiding in species identification.  
-- **Ears and Fur Texture:** Highlights distinctive **fluffy or smooth fur patterns** and **ear shapes** (pointed or floppy).  
-- **Body and Legs:** Focus on the **overall contour, legs, and tails**, distinguishing body structures of breeds like poodles and corgis.  
+| Feature             | **Dogs**                              | **Cats**                          |
+|---------------------|---------------------------------------|-----------------------------------|
+| **Facial Features**  | Eyes, nose, mouth for species ID      | Sharp focus on eyes and whiskers  |
+| **Ears & Fur Texture**| Fluffy/smooth fur, pointed/floppy ears | N/A                               |
+| **Body & Legs**      | Focus on contour, legs, and tails     | Emphasizes compact size and tail  |
+| **Paws & Posture**   | N/A                                   | Sitting posture, paw structures  |
 
-**Feature Focus for Cats:** 
-- **Face and Eyes:**  Sharp focus on **eyes and whiskers**, key characteristics of feline features.  
-- **Body Shape and Tail:**  Emphasizes the **compact size and tail curvature**.  
-- **Paws and Posture:**  Captures sitting postures and detailed paw structures.  
+### Common Errors
 
-**Incorrect Focus:** 
-- **Background Highlights:** Some heatmaps show attention to **background regions**, leading to irrelevant feature extraction.  
-- **Shared Features:** Overlapping fur patterns and body structures between dogs and cats occasionally result in misclassification risks.  
-- **Edge and Border Effects:** Emphasis on **image boundaries** could reflect dataset biases during training.  
+| Issue               | Description                           |
+|---------------------|---------------------------------------|
+| **Background Focus**| Attention to irrelevant background regions |
+| **Shared Features**  | Overlapping features between dogs and cats |
+| **Edge Effects**     | Bias from emphasis on image borders during training |
 
-**Insights:**
-- Refinements, such as **attention-based mechanisms**, can improve focus on discriminative features and reduce errors.  
+### Insights:
+- Attention-based mechanisms can improve focus on key features and reduce misclassification.
 """