Update README.md

README.md

@@ -6,10 +6,11 @@ tags:
 - Ultralytics
 base_model:
 - Ultralytics/YOLOv8
+- Ultralytics/YOLO11
 library_name: ultralytics
 pipeline_tag: image-classification
 ---
-# Race Classification YOLOv8
+# Race Classification YOLOv8/11
 This model is based on [FairFace](https://github.com/joojs/fairface) 0.25 padding variant dataset composed by Microsoft researchers, aiming to reduce bias by better balancing classes in dataset.
 > **Karkkainen, Kimmo, and Joo, Jungseock.**  
 > *FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation.*  
@@ -27,5 +28,4 @@ I will provide a pipeline for running it on your datasets in future.
   |Race-CLS-FairFace_yolov8s| Face: Real   | 0.721   | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White)  |~86740(train), ~10950(val)|224|
   |Race-CLS-FairFace_yolov8m| Face: Real   | 0.725   | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White)  |~86740(train), ~10950(val)|224|
   |Race-CLS-FairFace_yolo11l| Face: Real   | 0.733   | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White)  |~86740(train), ~10950(val)|224|
-  |Race-CLS-FairFace_yolo11x| Face: Real   | IN PROGRESS   | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White)  |~86740(train), ~10950(val)|224|
-
+  |Race-CLS-FairFace_yolo11x| Face: Real   | 0.735   | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White)  |~86740(train), ~10950(val)|224|