Update README.md

README.md

@@ -17,26 +17,25 @@ library_name: pytorch
 ---
 
 # 🚀 Usage Instructions
-For setup and usage details, visit the SSD section of the GitHub repository:
-[ssd github](https://github.com/adrirubio/ml-rover/tree/main/ssd)
+For setup and usage details, visit the SSD section of the GitHub repository:  <br>
+[SSD GitHub](https://github.com/adrirubio/ml-rover/tree/main/ssd) <br>
 
 This includes:
-
-- Installation steps
-- Model training and evaluation
-- Configuration options
-- How to run inference
+- Installation steps  
+- Model training and evaluation  
+- Configuration options  
+- How to run inference  
 
 # 🧪 Inference Examples
-See the SSD model in action with ready-made examples showing predictions on various images:
-[ssd examples](https://github.com/adrirubio/ml-rover/tree/main/ssd/inference-examples)
+See the SSD model in action with ready-made examples showing predictions on various images:  <br>
+[SSD Examples](https://github.com/adrirubio/ml-rover/tree/main/ssd/inference-examples) <br>
 
 # 🖼️ Run Inference on a Custom Image
-Use this script to run inference on your own image file by specifying the path manually:
-[SSD Examples](https://github.com/adrirubio/ml-rover/tree/main/ssd/inference-examples)
-ℹ️ Usage instructions are provided in the script comments.
+Use this script to run inference on your own image file by specifying the path manually:  <br>
+[ssd-inference.py](https://github.com/adrirubio/ml-rover/blob/main/ssd/ssd-inference.py) <br> 
+ℹ️ Usage instructions are included in the script comments.<br>
 
 # 🎲 Run Inference on a Random Pascal VOC Image
-Quickly test the SSD model on a random image from the Pascal VOC dataset:
-[ssd-inference.py](https://github.com/adrirubio/ml-rover/blob/main/ssd/ssd-inference.py)  
-ℹ️ Usage instructions are provided in the script comments.
+Quickly test the SSD model on a random image from the Pascal VOC dataset:  <br>
+[Pascal-VOC-inference.py](https://github.com/adrirubio/ml-rover/blob/main/ssd/Pascal-VOC-inference.py)  <br>
+ℹ️ Usage instructions are included in the script comments. <br>