diff --git a/GETTING_STARTED.md b/GETTING_STARTED.md
index 704fa6323f9e3389f40f3ae5f49b6d38233ef3ab..7de53d0013f11b6eb147cdd53a15040ce97ecb33 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.