Workshop (P2P)

Workshop (P2P)

University

10 Qs

quiz-placeholder

Similar activities

Protocolo ARP e Ativos Básicos de Rede

Protocolo ARP e Ativos Básicos de Rede

University

14 Qs

Basic Prototype Actions and Plugins

Basic Prototype Actions and Plugins

University

10 Qs

Notes on Blender 3D - Section 5/6

Notes on Blender 3D - Section 5/6

6th Grade - University

10 Qs

Computer Network Fun Review 5 - Data Link Layer

Computer Network Fun Review 5 - Data Link Layer

University

10 Qs

IoT

IoT

KG - Professional Development

11 Qs

Prediction and Outliers

Prediction and Outliers

University

10 Qs

Ôn tập & Điểm danh PTDL Buổi 2

Ôn tập & Điểm danh PTDL Buổi 2

University

10 Qs

PAA10503-Q6-Chap6

PAA10503-Q6-Chap6

University

10 Qs

Workshop (P2P)

Workshop (P2P)

Assessment

Quiz

Computers

University

Practice Problem

Hard

Created by

Phuc Le

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does YOLO stand for?

You Only Like Optimization

You Only Look Once

You Only Love Once

Your Objective Label Output

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main task of YOLO in tracking pipeline?

Classify players into teams

Detect players positions

Detect objects (players) in each frame

Predict players future position

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which output does YOLO NOT produce directly?

Confidence score

Class label

Bounding boxes coordinates

Object ID for tracking

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is BYTETracker role in our pipeline?

Detect object (players)

Associate detections across frames

Resize images

Detect objects

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the correct order in our pipeline?

  1. 1. Detect and track players simultaneously

  2. 2. Classify players into teams

  1. 1. Players detection

  2. 2. Classify players into teams

  3. 3. Track detected players

  1. 1. Detect players

  2. 2. Track players

  3. 3. Team classification

  1. 1. Classify players into teams based on their jersey color

  2. 2. Track those players across frames

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens if YOLO fails to detect a player in a frame?

BYTETracker may lose track of that player

The player is manually added

The frame is skipped

The player position in the following frames will be decided by Kalman Filter

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which parameter controls how many times the model will see the entire training set?

Learning Rate

Batch Size

Epochs

IoU Threshold

Access all questions and much more by creating a free account

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?