Update README.md

README.md

@@ -8,7 +8,6 @@ tags:
 - defence
 - pytorch
 - computer-vision
-- til-ai
 language:
 - en
 library_name: ultralytics
@@ -74,18 +73,6 @@ The model detects the following 18 object categories:
 | 16 | Warship |
 | 17 | Sailboat |
 
-## Challenge Background
-
-This model was developed for the Computer Vision task in the Today I Learned-AI (TIL-AI) Category at DSTA Brainhack 2025. The challenge required participants to build high-performance object detection models optimized for both accuracy and speed.
-Challenge Details:
-
-- **Event**: DSTA Brainhack 2025
-- **Category**: Today I Learned-AI (TIL-AI)
-- **Task**: Computer Vision - Object Detection
-- **Requirements**: High accuracy with extremely low latency
-
-*Note: For comprehensive challenge specifications, you may visit the [official challenge documentation](https://github.com/til-ai/til-25/wiki/Challenge-specifications).*
-
 ## Performance
 
 The model achieved the following performance metrics in its original evaluation environment: