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SPECIFICTION
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MediaPipe vs Roboflow

MediaPipe

developers.google.com

Roboflow

roboflow.com

Side by side

FigureMediaPipeRoboflow
Price fromFree$39/mo
Free planYesYes
Free trial——
Open sourceYes—
WebYesYes
WindowsYes—
macOSYesYes
LinuxYesYes
iOSYesYes
AndroidYesYes
APIYesYes
Self-hostedYesYes
Plans published26
Spec score · AI Image Recognition Software8.6 (#8)8.9 (#3)
Company foundingGoogle's official history says Google Inc. was established in August 1998.Roboflow’s About page says its founders launched the company in 2020 after working on a real-time Sudoku-solving augmented reality game in 2019.
Company headquartersLinkedIn lists Google's headquarters in Mountain View, California.Roboflow’s terms list a Des Moines, Iowa address at 500 Locust Street.
SupportGoogle directs technical questions to Stack Overflow and bug reports or feature requests to GitHub issues, which are limited to community-benefiting problems.Roboflow provides a knowledge base, developer documentation, forums, YouTube tutorials, and enterprise priority support by email and in-app chat.
What it doesMediaPipe supplies customizable machine-learning libraries and tools for deploying AI features in applications across development platforms.Roboflow is a computer vision platform for collecting and labeling image or video data, training models, building vision applications, and deploying inference to cloud or edge devices.

Plans

MediaPipe

  • MediaPipeFree
  • MediaPipe open-source packageFree

MediaPipe pricing →

Roboflow

  • Free TierFree
  • Free TierFree
  • Core$39 a month
  • Core$39 a month
  • EnterprisePriced on request
  • EnterprisePriced on request

Roboflow pricing →

In their own words

MediaPipe

MediaPipe gives developers libraries, tools, ready-to-run models and customizable APIs for adding AI and machine learning to applications. Its vision tasks include face and hand landmarks, gesture recognition, image classification and segmentation, object detection, and pose landmarks. Text tasks cover language detection, classification, embeddings, proofreading and summarization, with audio classification also available. MediaPipe Tasks supports Android, Web/JavaScript, Python and iOS; its cross-platform APIs are described as requiring as few as five lines of code for inference. The optimized on-device pipelines use CPU, GPU and TPU acceleration for real-time use cases. Developers can try web samples in MediaPipe Studio with text, webcam input or uploaded images. Model Maker supports transfer learning for compatible models, but it is deprecated and cannot change a model's original task. Solution API inputs are processed on-device and not sent to Google; usage and performance metrics are sent to Google. The framework can be built from source for Linux, macOS, Windows and Docker, with some configurations marked experimental.

Visit developers.google.com

Roboflow

Roboflow provides tools for building, deploying, and monitoring computer vision applications, from dataset preparation through model inference. Its dataset features include image annotation, video frame extraction, preprocessing, and augmentation; annotation types include boxes, polygons, segmentation masks, classification labels, and keypoints. Exports include JSON, XML, CSV, TXT, and more than 30 additional formats. A hosted inference API runs models on autoscaling infrastructure with load balancing and burst support. Deployment options include roboflow.js, NVIDIA Jetson, Luxonis OAK, iOS, self-hosting, VPC, and on-premise environments. The Free Tier costs nothing and includes 10 credits monthly, stated as enough for about 30 model trainings or 80,000 inferences. Core costs $39 a month, billed monthly, with 20 credits and a private workspace and models. The pricing comparison lists one model training at a time by default and 20 projects for Core. Roboflow states it encrypts data in transit and at rest and is SOC 2 Type 2 compliant; enterprise pricing is custom.

Visit roboflow.com