Update README.md

README.md

@@ -1,4 +1,4 @@
-This repo contains my trained models for Kaggle Competition - [TF Barrier Reef Challenge](https://www.kaggle.com/c/tensorflow-great-barrier-reef)
+This repo contains my trained models/logs for Kaggle Competition - [TF Barrier Reef Challenge](https://www.kaggle.com/c/tensorflow-great-barrier-reef)
 
 Used Ultralytics/Yolov5 weights to re-train on Challenge Dataset.
 
@@ -10,6 +10,11 @@ Used Ultralytics/Yolov5 weights to re-train on Challenge Dataset.
 
 > NOTE 4: only the best submission data is logged here
 
+## [Final Results](https://www.kaggle.com/competitions/tensorflow-great-barrier-reef/leaderboard)
+- Winner Rank   : 1 out of 2026,  Score : 0.760 
+- My Final Rank : 1307 out of 2026, Score : 0.572
+
+
 ## [Leaderboard Scores](https://www.kaggle.com/c/tensorflow-great-barrier-reef/leaderboard)
 - [13 Feb 2022] 1st Competitor : 0.806 || My Score : 0.520
 - [23 Jan 2022] 1st Competitor : 0.779 || My Score : 0.520
@@ -98,4 +103,4 @@ Used Ultralytics/Yolov5 weights to re-train on Challenge Dataset.
 	- Model trained : Yolov5s6
 	- Trained on Image Size : 1280
 	- Epochs : 40
-	- Dataset details : Trained on new ehanced+augmented data.
+	- Dataset details : Trained on new ehanced+augmented data.