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CompreFace vs MediaPipe

Both stand on ai image recognition software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

CompreFace

Free plan Open source APILinuxMac+3

CompreFace offers a broad set of face-related functions through a self-hosted REST API. Check the Docker and processor requirements before choosing it for a deployment.

Visit CompreFace

MediaPipe

Free plan Open source AndroidAPIiPhone+5

MediaPipe offers a broad set of on-device ML tools, tasks, and framework components without a listed price. Developers relying on Model Maker should note its deprecated status and retraining limits.

Visit MediaPipe

The facts

CompreFaceMediaPipe
Free planYesYes
Open sourceYesYes
Runs onAPI, Linux, Mac, Self-hosted, Web, WindowsAndroid, API, iPhone, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planFree or on requestFree or on request
Plans published22
MakerNot publishedNot published
Websitegithub.comdevelopers.google.com
On ai image recognition software#1 of 37#4 of 37

CompreFace: what it does well

  • Free and open-source under Apache 2.0
  • REST API covers recognition and multiple detection functions
  • Supports CPU and GPU models
  • Includes UI and role-management controls
  • Links JavaScript, Python, and .NET SDK repositories

What to know first

  • Requires Docker and Docker Compose or Docker Desktop
  • Hardware requirements include an x86 processor with AVX support
  • Self-hosted deployment requires a server environment

MediaPipe: what it does well

  • Ready-to-run models and customizable APIs are available
  • Vision, text, and audio tasks are listed
  • Tasks supports Android, web, Python, and iOS
  • On-device pipelines support CPU, GPU, and TPU acceleration
  • Solution API inputs are processed on-device

What to know first

  • Model Maker is deprecated and no longer actively maintained
  • Model Maker cannot change a model's original task
  • Usage and performance metrics are sent to Google
  • Some desktop build configurations are marked experimental

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