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MediaPipe

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…

History, Art & Products

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Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
Alexander Kanaukou, Chenchen Tang, Chris Parsons, Jianing Wei, Marius Kintel, Gregory Karpiak, Suril Shah
License
Apache
Original authors
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, Wan-Teh Chang, Wei Hua, Manfr…
Platform
Android, JavaScript web, Python, iOS
Release
June 2019; 7 years ago (2019-06)
Repository
github.com/google-ai-edge/mediapipe

Topics to explore

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Overview

History

Solutions

Programming Language

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

MediaPipe

Nodes38
Edges37
Triples64
Avg. degree1.95
Density0.052632
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

MediaPipe

Top relations

related to history · 27
MediaPipe → April, California, Computer Vision, Conference, Face Detection, From, Gmail, Google, Google AI Edge, Google Home, Google Research, Google's, Hair Segmentation, Hand Tracking, In May, It, June, Long Beach, MediaPipe Solutions, MediaPipe's
related to Programming Language · 5
MediaPipe → Java, Pre-built, Python, Starlark, The
related to Solutions · 4
MediaPipe → Classification, LLM Inference APIObject, MediaPipe's, RecognitionImage
related to Hand Tracking · 3
MediaPipe → BlazePalm, Starting, This
related to Human Pose Estimation · 2
MediaPipe → Another, This
Developers · 1
MediaPipe → Alexander Kanaukou, Chenchen Tang, Chris Parsons, Jianing Wei, Marius Kintel, Gregory Karpiak, Suril Shah
License · 1
MediaPipe → Apache
Original authors · 1
MediaPipe → Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, Wan-Teh Chang, Wei Hua, Manfr…
Platform · 1
MediaPipe → Android, JavaScript web, Python, iOS
Release · 1
MediaPipe → June 2019; 7 years ago (2019-06)

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

solutions google hand used python framework works tracking language release ai edge android javascript web ios source many learning computer

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
MediaPipeDevelopersAlexander Kanaukou, Chenchen Tang, Chris Parsons, Jianing Wei, Marius Kintel, Gregory Karpiak, Suril Shah1.00infobox
MediaPipeLicenseApache1.00infobox
MediaPipeOriginal authorsCamillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, Wan-Teh Chang, Wei Hua, Manfr…1.00infobox
MediaPipePlatformAndroid, JavaScript web, Python, iOS1.00infobox
MediaPipeReleaseJune 2019; 7 years ago (2019-06)1.00infobox
MediaPipeRepositorygithub.com/google-ai-edge/mediapipe1.00infobox
MediaPipeStable release1.0.01.00infobox
MediaPipeTypeFramework1.00infobox
MediaPipeWebsiteai.google.dev/edge/mediapipe/solutions/guide1.00infobox
MediaPipeis aopen source framework with many libraries developed by Google for several artificial intelligence and machine learning solutions0.90text
Androidinstance ofThese solutions can also be used on various platforms0.80text
JavaScript webinstance ofThese solutions can also be used on various platforms0.80text

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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