Update README.md

README.md

@@ -30,14 +30,14 @@ Im open to commissions, hit me up in Discord - **anzhc**
 ### Face segmentation:  
 #### Universal:
 Series of models aiming at detecting and segmenting face accurately. Trained on closed dataset i annotated myself.
-| Model                       | Target                | mAP 50                        | mAP 50-95                 |Classes        |Dataset size|Training Resolution|
-| --------------------------- | --------------------- | ----------------------------- | ------------------------- |---------------|------------|-------------------|
-  | Anzhc Face -seg.pt             | Face: illustration, real   | LOST DATA               | LOST DATA             |2(male, female)|LOST DATA| 640|
-  | Anzhc Face -seg-hd.pt          | Face: illustration, real   | LOST DATA               | LOST DATA             |2(male, female)|LOST DATA|1024|
-  | Anzhc Face seg 640 v2 y8n.pt   | Face: illustration, real   | 0.872(box),0.872(mask)  | 0.835(box),0.752(mask)|1(face)        |~500| 640|
-  | Anzhc Face seg 768 v2 y8n.pt   | Face: illustration, real   | 0.86(box),0.86(mask)    | 0.81(box),0.726(mask) |1(face)        |~500| 768|
-  | Anzhc Face seg 768MS v2 y8n.pt | Face: illustration, real   | 0.866(box),0.866(mask)  | 0.816(box),0.72(mask) |1(face)        |~500| 768|(Multi-scale)|
-  | Anzhc Face seg 1024 v2 y8n.pt  | Face: illustration, real   | 0.872(box),0.872(mask)  | 0.804(box),0.726(mask)|1(face)        |~500| 1024|
+| Model                                                                      | Target                | mAP 50                        | mAP 50-95                 |Classes        |Dataset size|Training Resolution|
+|----------------------------------------------------------------------------|-----------------------|--------------------------------|---------------------------|---------------|------------|-------------------|
+| [Anzhc Face -seg.pt](https://huggingface.co/Anzhc/Anzhcs_YOLOs/blob/main/Anzhc%20Face%20-seg.pt)         | Face: illustration, real   | LOST DATA               | LOST DATA             |2(male, female)|LOST DATA| 640|
+| [Anzhc Face seg 640 v2 y8n.pt](https://huggingface.co/Anzhc/Anzhcs_YOLOs/blob/main/Anzhc%20Face%20seg%20640%20v2%20y8n.pt)   | Face: illustration, real   | 0.872(box),0.872(mask)  | 0.835(box),0.752(mask)|1(face)        |~500| 640|
+| [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   | 0.86(box),0.86(mask)    | 0.81(box),0.726(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   | 0.866(box),0.866(mask)  | 0.816(box),0.72(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   | 0.872(box),0.872(mask)  | 0.804(box),0.726(mask)|1(face)        |~500| 1024|
+
 
 Take those stats with a grain of salt, since im pretty sure i re-scrambled dataset partition after training those models ages ago.
 Benchmark was performed in 640px.