WorksheetsFACE AZURE
Total questions: 10
Worksheet time: 5mins
In addition to detecting a face in an image with a bounding box, what other capabilities does the Face service offer over the Computer Vision service?(Select all that apply.)
Facial recognition
Comprehensive facial features (e.g. emotional state)
Age
Gender
Using the Computer Vision service, how can you get information (e.g. age and gender) for more than one person in a single image?
You must send the image through multiple times, blocking out all but one face for each submission
The Computer Vision service will return a JSON object that contains an array of faces.
The Computer Vision service will return a JSON object that contains a list of face locations, and you must then specify which location you want additional information on.
You can only get information on one person per image.
Can you use Face services to verify that two images are of the same person anonymously?
Yes, the Face service assigns a unique ID to each face. This can be used to verify without needing additional identifiable information
Partially, while the Face service can anonymously detect that two faces are similar, it cannot verify that they are the same without a human verifying additional personally identifiable information
No, while the Face service is able to verify that two faces are the same, it can only do this by also storing additional identifiable information (e.g. name).
No, the Face service isn’t able to verify that two faces are the same.
Can Face services be used to identify a criminal based on a sketch made by a sketch artist?
Yes, with a combination of Face services and Custom Vision a face-to-sketch comparison is possible.
Yes, and this is commonly used.
No, while it is possible to compare a face with a sketch, it is not permitted within the EULA.
No, even if it were possible to have an accurate comparison, it is not permitted within the EULA.
“Facial landmark location” is a feature of Face services that identifies the location in the image of what?
The landmarks that are near to the face (e.g. if a person is standing in front of the Eiffel Tower).
Faces that are on popular landmarks (e.g. the Statue of Liberty).
The specific facial features of a face (e.g. the tip of the nose).
The boundaries of the face (e.g. the top, sides, and bottom of each face in the image).
Which of the following facial features can the Computer Vision service predict?
Age.
Type of eye-glasses.
Hair color.
You need to create a facial recognition solution to identify named employees. Which service should you use?
Computer Vision.
Custom Vision.
Face.
You need to verify that the person in a photo taken at hospital reception is the same person in a photo taken at a ward entrance 10 minutes later. What should you do?
Create a People Group and add a person for every hospital visitor with multiple photographs to train a model.
Verify the face in the ward photo by comparing it to the detected face ID from the reception photo.
Compare the Age, head pose, and hair color for the faces in the reception and ward photo's.
Which of the following facial features can the Face service predict?
Age
type of eye-glasses.
Hair color.
All
You need to verify that the person at the entrance of the Hall is the same on the stage later. What should you do?
Compare the Age, head pose, and hair color for the faces in the reception and ward photo's.
Create a People Group and add a person for every program visitor with multiple photographs to train a model.
Verify the face on the stage photo by comparing it to the detected face ID from the entrance photo.
