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Face++ vs SERVIR-ACES

Face++

faceplusplus.com

SERVIR-ACES

servir.github.io

Side by side

FigureFace++SERVIR-ACES
Price fromFree—
Free planYes—
Free trialYes—
Open source——
WebYes—
WindowsYes—
macOSYes—
iOSYes—
AndroidYes—
APIYes—
Plans published70
Spec score · AI Image Recognition Software8.8 (#5)6.1 (#32)
SupportFace++ offers technical support for integration help, API issues, and troubleshooting through its contact page.The project directs users to file GitHub issues to report bugs or submit feedback.

Plans

Face++

  • FreeFree
  • FreeFree
  • Daily/Monthly PlanPriced on request
  • Daily/Monthly PlanPrice not published
  • Pay As You GoPriced on request
  • SDK licensingPriced on request
  • SDK licensingPriced on request

Face++ pricing →

SERVIR-ACES

No plans published.

SERVIR-ACES pricing →

In their own words

Face++

Face++ provides computer vision APIs and SDKs for adding image analysis and recognition to applications. Its face capabilities include detection, 1:1 comparison, 1:N search, facial landmarks and facial attributes. The platform also lists body and skeleton recognition, gesture recognition, OCR, image beautification and photo album clustering. Liveness detection distinguishes a live face from a photo, video or mask to help prevent spoofing attacks. Face++ presents identity verification, eKYC and passport matching, ride-hailing driver verification, biometric retail payments and skin analysis as use cases. Its platforms include Android, API, iOS, macOS, web and Windows. The Face Landmark SDK supports Android, iOS, Windows and Mac, and can perform face detection, tracking and landmarking locally on mobile devices. The free API key has shared QPS limits: 3 total for facial recognition APIs, with Dense Facial Landmarks API limited separately to 1. The SDK trial offers one day of authorized online licensing, with up to five authorizations per day. The free plan is free; other listed billing options have no listed price.

Visit faceplusplus.com

SERVIR-ACES

SERVIR-ACES has no write-up on Specifiction yet; its figures are above.

Visit servir.github.io