Update README.md

README.md

@@ -40,7 +40,7 @@ Series of models aiming at detecting and segmenting face accurately. Trained on
 | [Anzhc Face seg 768 v2 y8n.pt](https://huggingface.co/Anzhc/Anzhcs_YOLOs/blob/main/Anzhc%20Face%20seg%20768%20v2%20y8n.pt)   | Face: illustration, real   | 0.765(box) 0.748(mask)    | 0.572(box) 0.431(mask) |1(face)        |~500| 768|
 | [Anzhc Face seg 768MS v2 y8n.pt](https://huggingface.co/Anzhc/Anzhcs_YOLOs/blob/main/Anzhc%20Face%20seg%20768MS%20v2%20y8n.pt) | Face: illustration, real   | 0.807(box) 0.770(mask)  | 0.601(box) 0.432(mask) |1(face)        |~500| 768|(Multi-scale)|
 | [Anzhc Face seg 1024 v2 y8n.pt](https://huggingface.co/Anzhc/Anzhcs_YOLOs/blob/main/Anzhc%20Face%20seg%201024%20v2%20y8n.pt)  | Face: illustration, real   | 0.768(box) 0.740(mask)  | 0.557(box) 0.394(mask)|1(face)        |~500| 1024|
-| [Anzhc Face seg 640 v3 y11n.pt]()  | Face: illustration   | 0.882(box) 0.871(mask)  | 0.689(box) 0.570(mask)|1(face)        |~660| 640|
+| [Anzhc Face seg 640 v3 y11n.pt](https://huggingface.co/Anzhc/Anzhcs_YOLOs/blob/main/Anzhc%20Face%20seg%20640%20v3%20y11n.pt)  | Face: illustration   | 0.882(box) 0.871(mask)  | 0.689(box) 0.570(mask)|1(face)        |~660| 640|
 
 
 UPDATE: v3 model has a bit different face target compared to v2, so stats of v2 models suffer compared to v3 in newer benchmark, especially in mask, while box is +- same.