From b74e5b53ed1d366c8b58e6c45a88415fe9948aec Mon Sep 17 00:00:00 2001 From: Khanh LeViet Date: Wed, 2 Sep 2020 09:47:47 -0700 Subject: [PATCH] Fixed minor doc typo PiperOrigin-RevId: 329731039 Change-Id: I72274998be42132afd7c87819c11425a0a336299 --- .../inference_with_metadata/task_library/image_segmenter.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tensorflow/lite/g3doc/inference_with_metadata/task_library/image_segmenter.md b/tensorflow/lite/g3doc/inference_with_metadata/task_library/image_segmenter.md index 1239ce1bc39..c17370be026 100644 --- a/tensorflow/lite/g3doc/inference_with_metadata/task_library/image_segmenter.md +++ b/tensorflow/lite/g3doc/inference_with_metadata/task_library/image_segmenter.md @@ -130,7 +130,7 @@ The segmentation category mask should looks like: segmentation-output Try out the simple -[CLI demo tool for ImageClassifier](https://github.com/tensorflow/tflite-support/tree/master/tensorflow_lite_support/examples/task/vision/desktop#image-segmenter) +[CLI demo tool for ImageSegmenter](https://github.com/tensorflow/tflite-support/tree/master/tensorflow_lite_support/examples/task/vision/desktop#image-segmenter) with your own model and test data. ## Model compatibility requirements