Workshop (P2P)

Workshop (P2P)

University

10 Qs

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Workshop (P2P)

Workshop (P2P)

Assessment

Quiz

Computers

University

Practice Problem

Hard

Created by

Phuc Le

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10 questions

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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

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