From e32975b1815832f4e73ce15afef4cfd6c327bb9d Mon Sep 17 00:00:00 2001
From: Nosson Weissman <36435007+codepharmer@users.noreply.github.com>
Date: Wed, 15 Dec 2021 14:32:31 -0500
Subject: [PATCH] Update README.md

Typo
---
 README.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/README.md b/README.md
index f3144e46..b3418591 100644
--- a/README.md
+++ b/README.md
@@ -30,8 +30,7 @@ Karkkainen, K., & Joo, J. (2021). FairFace: Face Attribute Dataset for Balanced
    ```
    pip install dlib
    ```
-- Download our models
-   Download our pretrained models from [here](https://drive.google.com/drive/folders/1F_pXfbzWvG-bhCpNsRj6F_xsdjpesiFu?usp=sharing) and save it in the same folder as where predict.py is located. Two models are included, race_4 model predicts race as White, Black, Asian and Indian and race_7 model predicts races as White, Black, Latino_Hispanic, East, Southeast Asian, Indian, Middle Eastern.
+- Download our pretrained models from [here](https://drive.google.com/drive/folders/1F_pXfbzWvG-bhCpNsRj6F_xsdjpesiFu?usp=sharing) and save it in the same folder as where predict.py is located. Two models are included, race_4 model predicts race as White, Black, Asian and Indian and race_7 model predicts races as White, Black, Latino_Hispanic, East, Southeast Asian, Indian, Middle Eastern.
 - Unzip the downloaded FairFace model as well as dlib face detection models in dlib_models.
 - Prepare the images
    - prepare a csv and provide the paths of testing images where the colname name of testing images is "img_path" (see our [template csv file](https://github.com/dchen236/FairFace/blob/master/test_imgs.csv).