WorksheetsDaily Quiz (28.12.2020)
Total questions: 10
Worksheet time: 6mins
What is the objective of the project of lesson 2 of Creating dataset?
Build a product that helps doctors quickly identify cases of pneumonia in children
Build a product that helps people quickly identify cases of pneumonia in young people
Sales forecasting using Machine Learning
Classification of Cancer patient
Which important factors does the classification model of the optional project classify?
Can help flag serious cases of pneumonia
Can predict serious cases of corona virus
Quickly identify healthy cases of pneumonia
Can identify negative cases of corona virus
From which the dataset is taken?
Github
Mnist
Kaggle
Jhon Hopkin's public dataset of Covid 19
What are the properties of healthy x-ray image in the dataset?
Clear lungs without any areas of abnormal cloudiness
Clear lungs with some areas of opacity
Presence of diaphragm shadow
Absence of diaphragm shadow
What are the properties of pneumonia images in dataset?
Clear lungs without any areas of abnormal cloudiness/opacity
Areas of cloudiness/opacity in several concentrated areas or one large area.
General pattern of opacity that obscures the structure of the lungs, heart and diaphragm.
Diaphragm shadow is not obscured
As a task you will need to submit an HTML file of a complete job Preview, which includes________
XML code files
Example test questions
Instructions for annotation
Leveled images
What you should include in case of uncertainty in an annotation?
Serious case
Unknown
Healthy case
Other
Is this project Multi-class multi-label classification?
Yes
No
In case of pneumonia, how you can annotate?
On a numerical scale
0-n for their confidence that an image contains pneumonia symptoms or not.
String value like Pneumonia / Not-pneumonia
By color i.e. red for Pneumonia and Green for Not-pneumonia
Of over 100 images in this dataset _________
All of them are labeled
Very few of them are labeled
All of them are unlabeled
Most of them are labeled
