Update README.md

README.md

@@ -26,11 +26,11 @@ Age and gender estimation from face crops using **DINOv3-ViT-L** backbone with C
 | Model | MAE ↓ | CS@5 ↑ | Gender Acc ↑ |
 |-------|--------|--------|-------------|
 | MiVOLO v2 [face+body] (paper) | 3.650 | 74.48% | 97.99% |
-| MiVOLO v2 [face+body] (measured) | 3.859 | 76.5% | — |
-| MiVOLO v2 [face-only] (measured) | 3.941 | 75.6% | — |
+| MiVOLO v2 [face+body] (measured on the public model) | 3.859 | 76.5% | — |
+| MiVOLO v2 [face-only] (measured on the public model) | 3.941 | 75.6% | — |
 | **FaceAge-DINOv3 (face-only)** | **3.760** | — | — |
 
-Trained on: LAGENDA + IMDB-Clean + UTKFace + AgeDB + AFAD + MegaFace (pseudo-labeled).
+Trained on:Our collection data.
 
 ## Architecture
 
@@ -102,10 +102,10 @@ Multi-phase fine-tuning on DINOv3-ViT-L:
 
 | Phase | Backbone | LR | Data |
 |-------|----------|-----|------|
-| 1 | Frozen (all 24 blocks) | 1e-3 | LAGENDA + IMDB-Clean + UTK + AgeDB |
+| 1 | Frozen (all 24 blocks) | 1e-3 | Our collection  786k faces |
 | 2 | Top 4 blocks unfrozen | 1e-4 | Same |
 | 3 | All blocks unfrozen | 3e-5 | Same |
-| 4 | All blocks | 3e-6 | + MegaFace pseudo-labels, age reweighting |
+| 4 | All blocks | 3e-6 | Our collection  4M faces, age reweighting |
 
 Age group reweighting (Phase 4): 36-50 ×2.0, 51-65 ×1.5, 66-100 ×3.0 to improve accuracy on older faces.