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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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