Vision Deep Learning

Vision Deep Learning

Assessment

Interactive Video

Information Technology (IT), Architecture

12th Grade - University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial introduces deep learning and its application in computer vision, focusing on convolutional neural networks (CNNs) and their ability to learn features from pixels. It demonstrates face detection using MTV CNN and MediaPipe, highlighting their capabilities and performance. The tutorial also covers various case studies and applications, such as facial recognition, hand tracking, and road detection, using pre-trained models.

Read more

10 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the primary advantage of deep learning in computer vision?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of the media pipe pipeline mentioned in the text?

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the role of convolutional neural networks in image processing.

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the limitations of the MTV CNN in face detection?

Evaluate responses using AI:

OFF

5.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of face detection as outlined in the tutorial.

Evaluate responses using AI:

OFF

6.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the function of the bounding box in face detection?

Evaluate responses using AI:

OFF

7.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some other methods for detecting faces mentioned in the text?

Evaluate responses using AI:

OFF

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?