Page 165 - Ai_V1.0_Class9
P. 165
Human Being
Lamp post
Trees
Cars
Step 2: Data Augmentation
Data augmentation is the process of increasing the amount
and diversity of data. We do not collect new data, rather we
transform the already present data. Data augmentation means
increasing the amount of data by adding copies of existing
data with small changes. The image given here does not
change, but we get data on the image by changing different
parameters like colour, rotation, flipping and brightness. New
data is added by slightly changing the existing data.
In the above example:
● We apply flipping and rotation transformation to create variations of the original images.
● We also simulate occlusions such as objects partially blocking the view to train the model to handle obstructed
scenarios.
Step 3: Data Generation
Data generation refers to generating or recording data using sensors. Recording temperature readings of a building
is an example of data generation. Recorded data is stored in a computer in a suitable form.
In the above example, of self-driving car. Data acquisition is done for creating fake driving scenarios with different
road conditions, traffic patterns, weather, and lighting to cover many possible situations.
Sources of Data Acquisition
Data can be acquired from various sources, classified as either primary or secondary.
Primary Data Sources
The data generated from the experiment is an example of primary data. Some of the sources for primary data
include surveys, interviews, experiments, etc. Here is an Excel sheet showing the data collected for students of a class.
Data Literacy 163

