Update README.md

README.md

@@ -1,9 +1,9 @@
 ---
-license: apache-2.0
+license: cc-by-sa-4.0
 pipeline_tag: image-segmentation
 language: []
 base_model: isnet-general-use.pth
-model_type: ty_fashion_bg_remover
+model_type: bg_removal
 tags:
   - computer-vision
   - image-background-removal
@@ -12,9 +12,9 @@ tags:
   - is-net
 ---
 
-# TY Fashion Background Remover
+# Background Removal
 
-_TY Fashion Background Remover is an IS-Net–based human segmentation and background-removal model designed to automatically detect and isolate people in images. It produces high-quality binary/alpha masks and trimmed RGBA composites intended for downstream editing, compositing, and automated image pipelines. Although optimized for fashion photography, it is suitable for any application where the image contains human and the goal is to separate them cleanly from the background._
+_Background Removal is an IS-Net–based human segmentation and background-removal model designed to automatically detect and isolate people in images. It produces high-quality binary/alpha masks and trimmed RGBA composites intended for downstream editing, compositing, and automated image pipelines. Although optimized for fashion photography, it is suitable for any application where the image contains human and the goal is to separate them cleanly from the background._
 
 ## Model Details
 
@@ -88,11 +88,11 @@ if __name__ == "__main__":
 ## Citation
 
 ```bibtex
-@misc{trendyol2025fashionbgremover,
-  title={TY Fashion Background Remover},
+@misc{trendyol2025backgroundremoval,
+  title={Trendyol Background Removal},
   author={Trendyol Data Science Team},
   year={2025},
-  howpublished={\url{https://huggingface.co/trendyol/ty-fashion-bg-remover}}
+  howpublished={\url{https://huggingface.co/trendyol/background-removal}}
 }
 ```
 
@@ -110,7 +110,7 @@ This model is released by Trendyol as a source-available, non-open-source model.
 - Use the model for non-commercial research and internal testing.
 - Use the model or its derivatives for commercial purposes, provided that:
   - You cite Trendyol as the original model creator.
-  - You notify Trendyol in advance via [ai@trendyol.com] or other designated contact.
+  - You notify Trendyol in advance via [cqm.datascience@trendyol.com] or other designated contact.
 
 ### You are not allowed to: