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Data Acquisition/Acquiring Data
Data acquisition, also known as acquiring data, refers to the procedure of gathering data like raw facts, figures or
statistics from relevant sources either for reference or for analysis needed in AI projects. This involves searching
for datasets suitable for training AI models. The process typically comprises three key steps and plays a crucial
role in obtaining and preparing data for analysis.
1
Data searching for new datasets
Discovery
2
Data Data
Acquisition Augmentation adding more data to the existing data
3
Data
Generation generating data if data is not available
For example, to collect data for making a CV model for a self-driving car.
The three key steps involved in data acquisition are given below:
Step 1: Data Discovery
Data discovery is about hunting for valuable information in different places, checking if it’s good quality, and
making sense of what we find. In the above example:
● We will require pictures of roads and the objects on roads.
● We can search and download this data from the Internet.
Human Being
Lamp post
Trees
Cars
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