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This video tutorial focuses on data cleaning in the context of an image processing project. Data cleaning is a crucial step in any data science project as it consumes a significant amount of time. When working with images downloaded from the Internet, there may be various issues that need to be addressed. Detecting a person in an image often relies on analyzing their face, as it is the most distinguishing feature. Therefore, the tutorial will demonstrate how to use this concept to clean and preprocess the downloaded images by focusing on detecting and analyzing the faces of individuals.
