MediaPipe
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MediaPipe is an open source framework with many libraries developed by Google for several artificial intelligence and machine learning solutions. These solutions range from generative AI, real-time computer vision, natural language processing and audio techniques. These solutions can also be used on various platforms such as Android, JavaScript web, Python and iOS, supporting edge devices.
MediaPipe is an open source framework with many libraries developed by Google for several artificial intelligence and machine learning solutions. These solutions range from generative AI, real-time computer vision, natural language processing and audio techniques. These solutions can also be used on various platforms such as Android, JavaScript web, Python and iOS, supporting edge devices.
History
Google has long used MediaPipe in its products and services. Since 2012, it has been used for real-time analysis of video and audio on YouTube. Over time MediaPipe has been incorporated into many more products such as Gmail, Google Home, etc. MediaPipe's first stable release was version 0.5.0. It was made open source in June 2019 at the Conference on Computer Vision and Pattern Recognition in Long Beach, California, by Google Research. This initial release included only five pipelines examples: Object Detection, Face Detection, Hand Tracking, Multi-hand Tracking, and Hair Segmentation. From its initial release to April 2023, numerous pipelines have been made. In May 2025, MediaPipe Solutions was introduced. This transition offered more capabilities for on-device machine learning. MediaPipe is now under Google's subdivision, Google AI Edge.
Solutions
MediaPipe's available solutions are: LLM Inference API Object detection Image classification Image segmentation Interactive segmentation Hand landmark detection Gesture Recognition Image embedding Face detection Face landmark detection Pose landmark detection Image generation Text classification Text embedding Language detector Audio Classification MediaPipe's legacy solutions are: Face Detection Face Mesh Iris Hands Pose Holistic Selfie segmentation Hair segmentation Object detection Box tracking Instant motion tracking Objectron KNIFT AutoFlip MediaSequence YouTube 8M
References
Text derived from https://en.wikipedia.org/w/index.php?oldid=1370002164 under CC BY-SA 4.0; modifications have been made.