From eb5c04b5d029db0e50dd9a49377b89e5546c7cf0 Mon Sep 17 00:00:00 2001
From: Lawrence <15603290+eugenelawrence@users.noreply.github.com>
Date: Mon, 1 Jul 2019 23:22:10 +0800
Subject: [PATCH] Update GETTING_STARTED.md (#907)

fix typo
---
 GETTING_STARTED.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/GETTING_STARTED.md b/GETTING_STARTED.md
index 704fa63..7de53d0 100644
--- a/GETTING_STARTED.md
+++ b/GETTING_STARTED.md
@@ -213,7 +213,7 @@ There are two ways to work with custom datasets.
 
 We basically categorize model components into 4 types.
 
-- backbone: usually a FCN network to extract feature maps, e.g., ResNet, MobileNet.
+- backbone: usually an FCN network to extract feature maps, e.g., ResNet, MobileNet.
 - neck: the component between backbones and heads, e.g., FPN, PAFPN.
 - head: the component for specific tasks, e.g., bbox prediction and mask prediction.
 - roi extractor: the part for extracting RoI features from feature maps, e.g., RoI Align.
-- 
GitLab