Deep Learning CNN Convolutional Neural Networks with Python - RGB Images

The video tutorial explains the basics of grayscale and RGB images, detailing how pixel values represent colors in digital images. It covers the structure of RGB images with three channels for red, green, and blue, and how these channels combine to form various colors. The tutorial also introduces hyperspectral images, which contain additional channels beyond RGB, often used in geospatial data from satellites.

What is the range of pixel values in a grayscale image?

• 0 to 1024

• 0 to 255

• 0 to 100

• 0 to 512

In an RGB image, what does the first channel represent?

• Green color intensities

• Yellow color intensities

• Blue color intensities

• Red color intensities

How many channels are there in an RGB image?

• Four

• Three

• Two

• One

If a pixel has maximum intensity in the red and blue channels but none in the green, what color does it represent?

• Green

• Cyan

• Magenta

• Yellow

What happens when all RGB channel values are set to zero?

• The pixel appears white

• The pixel appears blue

• The pixel appears black

• The pixel appears red

What are hyperspectral images?

• Images with additional channels beyond RGB

• Images with only electromagnetic channels

• Images with only ultraviolet channels

• Images with only RGB channels

In what field are hyperspectral images particularly used?

• Medical imaging

• Geospatial data

• Photography

• Animation