Learning Data Mining with Python

You can change the image index to show different images, getting a feel for the
dataset's properties.
Chapter 11
The aim of our project, in this chapter, is to build a classification system that can take
an image like this and predict what the object in it is.
Use cases
Computer vision is used in many scenarios.
Online map websites, such as Google Maps, use computer vision for a number of
reasons. One reason is to automatically blur any faces that they find, in order to give
some privacy to the people being photographed as part of their Street View feature.
Face detection is also used in many industries. Modern cameras automatically detect
faces, as a means to improve the quality of photos taken (the user most often wants
to focus on a visible face). Face detection can also be used for identification. For
example, Facebook automatically recognizes people in photos, allowing for easy
tagging of friends.
As we stated before, autonomous vehicles are highly dependent on computer vision
to recognize their path and avoid obstacles. Computer vision is one of the key
problems that is being addressed not only in research into autonomous vehicles, not
just for consumer use, but also in mining and other industries.
Other industries are using computer vision too, including warehouses examining
goods automatically for defects.
The space industry is also using computer vision, helping to automate the collection
of data. This is critical for effective use of spacecraft, as sending a signal from Earth
to a rover on Mars can take a long time and is not possible at certain times (for
instance, when the two planets are not facing each other). As we start dealing with
space-based vehicles more frequently, and from a greater distance, increasing the
autonomy of these spacecrafts is absolutely necessary.
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