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How much does Face Recognition Application earn?

Android app from Lauszus Consulting · Education

ML forecast ★ 2.4 · 129 Free

~220/mo

ML revenue forecast. Calibrated against 120891 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Face Recognition Application screenshot 1 Face Recognition Application screenshot 2 Face Recognition Application screenshot 3

Face Recognition Application's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Face Recognition Application sits in Education

Revenue distribution of 120891 comparable apps. Face Recognition Application highlighted.

Face Recognition Application vs comparable apps

Revenue trajectory side-by-side. Bold = Face Recognition Application, ghosted = peers.

App spec

Version
1.2.3
Last update
Dec 17, 2018
Launched
Jan 10, 2017
Price
Free
Monetization
Free

What Face Recognition Application actually does (from store listing)

Note that this app is meant for developers and NOT consumers, so please do not leave a negative review if you are not a developer. This app demonstrates how to calculate Eigenfaces and Fisherfaces used for face recognition on an Android device. The library uses my other project FaceRecognitionLib: https://github.com/Lauszus/FaceRecognitionLib in order to calculate the Eigenfaces and Fisherfaces. The source code is available at the following link: https://github.com/Lauszus/FaceRecogniti…
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Comparable Android apps

The five apps in Education with the closest revenue to Face Recognition Application. Click any to see its detail page.

AppRevenueRatingRatings
N S Toor icon N S Toor 220 ★ 3.9 432
Malagasy French Translator icon Malagasy French Translator 220 0
Indonesian flashcards icon Indonesian flashcards 220 0
WordBit Hiszpański (Alarm) icon WordBit Hiszpański (Alarm) 220 0
The Excel Academy icon The Excel Academy 220 0
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Face Recognition Application's tracker page for current rating, reviews and snapshot timeline.

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