Exam AI-102 topic 2 question 24 discussion

1. detects 2. 797, 201 https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-face-detection#face-rectangle Each detected face corresponds to a faceRectangle field in the response. This is a set of pixel coordinates for the left, top, width, and height of the detected face. Using these coordinates, you can get the location and size of the face. In the API response, faces are listed in size order from largest to smallest. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-face-detection#attributes - QualityForRecognition The overall image quality regarding whether the image being used in the detection is of sufficient quality to attempt face recognition on. The value is an informal rating of low, medium, or high. Only "high" quality images are recommended for person enrollment, and quality at or above "medium" is recommended for identification scenarios.

To answer the first question see the endpoint .../face/v1.0/detect?.... To answer the second question see the first object from the response "faceRectangle": {"TOP":201, "LEFT:"797....}

detects is CORRECT because the response includes a list of detected faces along with their respective face IDs, face rectangles, and quality for recognition attributes. This matches the expected output of the Face Detection API, which is used to identify and locate human faces in an image. 797, 201 is CORRECT because the face at this position has a qualityForRecognition attribute value of "high," which indicates that it is suitable for use in person enrollment.

By feeling paizuri, you can see that the answers are ‘detect’ and ‘797,201’.

By feeling the paisley, you can see that the answers are ‘detect’ and ‘797,201’.

memorize. detects and 797, 201.

Final Answer: 1. detects 2. 797, 201

The API detects faces. A face that can be used in person enrollment is at position 797, 201 within the photo. This question provides information about an API request made to a face detection service. The request is sent to the endpoint "https://facetesting.cognitiveservices.azure.com/face/v1.0/detect" with the content of an image in the JSON format. The response from the API includes an array of detected faces, each with a unique faceId, faceRectangle, and faceAttributes. The first statement asks what the API does with faces. The correct answer is "detects" because the endpoint used in the request is "/detect," which implies that the API is used for face detection. The second statement asks about the position of a face that can be used for person enrollment. The face's position is specified in the "faceRectangle" field of the JSON response. The correct answer is "118, 754" because that is the "left" and "top" position of the face rectangle for the fourth face in the response, which has a high enough quality for recognition to be used in person enrollment.