Deep Learning CNN Convolutional Neural Networks with Python - Classification Pipeline Solution

The video tutorial explains the process of facial detection using a flowchart. It begins with preprocessing, followed by feature extraction using various techniques. Next, classification algorithms are applied, leading to the final step of detecting faces and creating bounding boxes in images.

What is the first step in the facial detection algorithm?

• Bounding box creation

• Feature extraction

• Classification

• Preprocessing

Which of the following is a part of feature extraction?

• Bounding boxes

• Classification

• Different techniques

• Preprocessing

What follows feature extraction in the facial detection process?

• Image enhancement

• Preprocessing

• Bounding box creation

• Classification

What is the purpose of using bounding boxes in facial detection?

• To enhance image quality

• To represent faces in an image

• To classify images

• To extract features

Which step is responsible for identifying faces in an image?

• Preprocessing

• Feature extraction

• Face detection

• Classification