diff --git a/tensorflow/lite/g3doc/models/image_classification/overview.md b/tensorflow/lite/g3doc/models/image_classification/overview.md
index b8075bb872a..a9b1d49e0dc 100644
--- a/tensorflow/lite/g3doc/models/image_classification/overview.md
+++ b/tensorflow/lite/g3doc/models/image_classification/overview.md
@@ -24,7 +24,7 @@ started.
 You can leverage the out-of-box API from TensorFlow Lite Task Library to
 [integrate image classification models](../../inference_with_metadata/task_library/image_classifier)
 in just a few lines of code. You can also
-[build your own custom inference pipleline](../../inference_with_metadata/lite_support)
+[build your own custom inference pipeline](../../inference_with_metadata/lite_support)
 using the TensorFlow Lite Support Library.
 
 The Android example below demonstrates the implementation for both methods as