Comprehensive Android Developer Bootcamp - What We'll Build - Android Face Recognition App

Comprehensive Android Developer Bootcamp - What We'll Build - Android Face Recognition App

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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FREE Resource

The video tutorial explains the development of an app using Firebase ML Kit for face detection. It covers the app's features, including a simple user interface, permission requests, and the ability to toggle between cameras. The tutorial demonstrates selecting and cropping images, detecting faces, and analyzing features like smiling probability and eye openness. It also explores handling multiple faces and introduces new UI elements for displaying information.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What features will the app utilize from Firebase?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the app determine if a person is smiling in a photo?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What happens when the app is first opened?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of selecting a photo within the app.

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What information does the app provide after detecting faces in a photo?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the app handle multiple faces in a single photo?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the probabilities displayed for each face?

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