From 6376d5352425186644947c3b60c51c2b3e4e0ff9 Mon Sep 17 00:00:00 2001 From: Sefik Ilkin Serengil Date: Sat, 5 Dec 2020 23:37:45 +0300 Subject: [PATCH] face recognition accuracies --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 939ae50..5541544 100644 --- a/README.md +++ b/README.md @@ -60,7 +60,7 @@ for model in models: df = DeepFace.find(img_path = "img1.jpg", db_path = "C:/workspace/my_db", model_name = model) ``` -FaceNet, VGG-Face and Dlib [overperforms](https://youtu.be/i_MOwvhbLdI) than OpenFace, DeepFace and DeepID based on experiments. +FaceNet, VGG-Face and Dlib [overperforms](https://youtu.be/i_MOwvhbLdI) than OpenFace, DeepFace and DeepID based on experiments. Supportively, VGG-Face got 98.78%; FaceNet got 99.65%; OpenFace got 92.92%; Dlib got 99.38% accuracy on [LFW data set](https://sefiks.com/2020/08/27/labeled-faces-in-the-wild-for-face-recognition/). **Similarity**