Update app.py

app.py

@@ -268,7 +268,7 @@ Upload a photo. **YuNet** auto-detects faces, then **FaceAge-DINOv3** predicts a
 
 | | |
 |--|--|
-| 🏆 LAGENDA 84k MAE | **3.760** (beats MiVOLO v2 measured 3.859) |
+| 🏆 LAGENDA 84k MAE | **3.760** (beats MiVOLO v2 measured on the public model 3.859) |
 | 🧠 Backbone | DINOv3-ViT-L/16 (Meta AI, 307M params) |
 | ⚡ Speed | ~100 ms / face on CPU (ONNX FP32) |
 | 🔍 Detector | YuNet (OpenCV, ~350 KB) |
@@ -301,7 +301,7 @@ with gr.Blocks(title="FaceAge-DINOv3", theme=gr.themes.Soft()) as demo:
 
     gr.Markdown("""
 ---
-*Trained on LAGENDA · IMDB-Clean · UTKFace · AgeDB · FairFace · Open Images.*
+*Trained on Our data collection*
 *DINOv3-ViT-L pretrained by Meta AI on LVD-1.68B images.*
 """)