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@@ -8,9 +8,9 @@ machine learning pipeline can be built as a graph of modular components,
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including, for instance, inference models and media processing functions. Sensory
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data such as audio and video streams enter the graph, and perceived descriptions
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such as object-localization and face-landmark streams exit the graph. An example
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graph that performs real-time face detection on mobile GPU is shown below.
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graph that performs real-time hair segmentation on mobile GPU is shown below.
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.. image:: images/mobile/face_detection_android_gpu.png
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.. image:: images/mobile/hair_segmentation_android_gpu.png
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:width: 400
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:alt: Example MediaPipe graph
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