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Computer Vision
Types of data used in computer vision include:
• Image data: Digital images captured by cameras or satellite imagery, medical scans, and surveillance footage.
• Video data: Video data captured using camera.
Statistical Data
Types of data used in statistical analysis are:
• Numeric data: Data taken from tables, Excel sheets, etc.
• Time series data: Data points collected or recorded at specific time intervals, such as stock prices, weather data,
sensor readings, and economic indicators.
04 DATA 1 DATA 2 DATA 3 DATA 4
03 2022
02 2021
2020
2019
10 20 30 40 50 60 70 80
Visual data Textual data Numeric data
e.g. Images, Videos e.g. Documents, PDF files e.g. Tables, Excel sheets
CV NLP SD
Computer Vision Natural language Processing Statistical Data
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.
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.
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