From 3baa1f5d9df34d8b54a96d9fc49702cf98e6ac1a Mon Sep 17 00:00:00 2001
From: Arun Ponnusamy <arunponnusamy@hotmail.com>
Date: Tue, 17 Dec 2019 22:10:29 +0530
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index e69ee56..95cf99a 100644
--- a/README.md
+++ b/README.md
@@ -63,7 +63,7 @@ Once face is detected, it can be passed on to `detect_gender()` function to reco
 
 `label, confidence = cv.detect_gender(face) `
 
-Underneath `cvlib` is using a [pre-trained](https://github.com/arunponnusamy/gender-detection-keras) keras model to detect gender from face. The accuracy is not so great at this point. It still makes mistakes. Working on adding a more accurate model.
+Underneath `cvlib` is using an AlexNet-like model trained on [Adience dataset](https://talhassner.github.io/home/projects/Adience/Adience-data.html#agegender) by Gil Levi and Tal Hassner for their [CVPR 2015 ](https://talhassner.github.io/home/publication/2015_CVPR) paper.
 
 Checkout `gender_detection.py` in `examples` directory for the complete code.