Update README.md

README.md

@@ -27,7 +27,22 @@ Why YOLOv11s?
 Efficiency: YOLO (You Only Look Once) models are known for their high-speed performance and accuracy, ideal for real-time applications.  
 Versatility: YOLOv11s builds upon prior versions, improving object detection, handling small objects, and performing well under challenging visual conditions.  
 Frugality: Optimized for computational efficiency, aligning with the sustainability goals of the Frugal AI Challenge.
- 
+
+### Requirelents:
+additional package:
+- ultralytics
+- torch
+- numpy
+
+Dockerfile had to be updated:
+ ```
+USER root
+RUN apt-get update && apt-get install -y libgl1
+
+# Switch to non-root user
+USER user
+```
+
 ## Data Preprocessing:
 Fine-Tuning YOLOv11:
 Load a pre-trained YOLOv11s model as a starting point (transfer learning).