diff --git a/README.md b/README.md
index 988d7c6b3..f5e9e067c 100644
--- a/README.md
+++ b/README.md
@@ -134,7 +134,7 @@ embedding_objs = DeepFace.represent(img_path = "img.jpg",
)
```
-

+
FaceNet, VGG-Face, ArcFace and Dlib are [overperforming](https://youtu.be/i_MOwvhbLdI) ones based on experiments. You can find out the scores of those models below on [Labeled Faces in the Wild](https://sefiks.com/2020/08/27/labeled-faces-in-the-wild-for-face-recognition/) set declared by its creators.
diff --git a/deepface/__init__.py b/deepface/__init__.py
index a8d2e1fd2..e3be2a4db 100644
--- a/deepface/__init__.py
+++ b/deepface/__init__.py
@@ -1 +1 @@
-__version__ = "0.0.86"
+__version__ = "0.0.87"
diff --git a/icon/model-portfolio-20240316.jpg b/icon/model-portfolio-20240316.jpg
new file mode 100644
index 000000000..7252155fc
Binary files /dev/null and b/icon/model-portfolio-20240316.jpg differ
diff --git a/package_info.json b/package_info.json
index 11660703c..4c79e5431 100644
--- a/package_info.json
+++ b/package_info.json
@@ -1,3 +1,3 @@
{
- "version": "0.0.86"
+ "version": "0.0.87"
}
\ No newline at end of file