AI 900 - pt 6

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

• yes

• no

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

• yes

• no

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

• yes

• no

You are processing photos of runners in a race. You need to read the numbers on the runners' shirts to identity the runners in the photos. Which type of computer vision should you use?

• facial recognition

• optical character recognition (OCR)

• image classification

• object detection

Match the types of machine learning to the appropriate scenarios. To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

c

d

e

semantic segmentation

facial detection

image classification

objection detection

optical character recognition

facial recognition

You use drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds. This is an example of which type of computer vision?

• object detection

• optical character recognition (OCR)

• scene segmentation

Match the facial recognition tasks to the appropriate questions. To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.

a

b

c

d

verification

identification

similarity

grouping

Match the types of computer vision workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

a

b

d

facial recognition

objection detection

optical character recognition

image classification

You need to determine the location of cars in an image so that you can estimate the distance between the cars. Which type of computer vision should you use?

• optical character recognition (OCR)

• object detection

• image classification

• face detection

you can use this ​ (a)   service to train an object detection model by using your own images

• form recognizer
• computer vision
• custom vision
• video indexer