Object detection using YOLO

Object detection using YOLO

University

12 Qs

quiz-placeholder

Similar activities

E-Commerce Concept 3

E-Commerce Concept 3

University

9 Qs

Steps of Building the Model

Steps of Building the Model

University

9 Qs

Neural Networks Quiz

Neural Networks Quiz

University

10 Qs

Chapter 6 DATABASE  Part 1

Chapter 6 DATABASE Part 1

University

15 Qs

OSI MODEL

OSI MODEL

University

15 Qs

Introduction to Business Analytics

Introduction to Business Analytics

University

10 Qs

Supervised & UnSupervised & Reinforcement Learning

Supervised & UnSupervised & Reinforcement Learning

University

14 Qs

OOAD-030-UML Intro

OOAD-030-UML Intro

University

10 Qs

Object detection using YOLO

Object detection using YOLO

Assessment

Quiz

Computers

University

Hard

Created by

DEVI IT

Used 2+ times

FREE Resource

12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

1. In YOLOv5, what does the .yaml configuration file define in terms of model training?

Only the learning rate and optimizer settings

Network architecture and dataset structure

Input image resolution and loss function

Anchor boxes and Intersection-over-Union (IoU) thresholds

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

2. What is the primary purpose of the 'hyp.yaml' file in YOLOv5?

To set the evaluation metrics

To configure the model's architecture

To specify the training dataset paths

To define the model's hyperparameters

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

3. In YOLOv5, which metric is commonly used to evaluate the model's performance?

Mean Average Precision (mAP)

Root Mean Square Error (RMSE)

Mean Absolute Error (MAE)

F1 Score

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

4. What role do anchor boxes play in YOLOv5?

They define the input image size

They help in bounding box prediction

They determine the learning rate

They are used for data augmentation

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When running YOLOv5 in Python, what does the confidence score represent for a given detection?

IoU between ground truth and predicted box

Probability of object presence × class probability

Classification accuracy on validation set

Threshold used during training only

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

5. In YOLOv5, what is the significance of the 'weights' file during inference?

It contains the model's architecture

It specifies the output layer configurations

It stores the trained model parameters

It defines the input preprocessing steps

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

6. How does YOLOv5 handle multi-scale detection?

By predicting at multiple layers of the network

By resizing images to a fixed size

By applying feature pyramid networks

By using different models for each scale

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?