DRAG DROP -
You are developing a photo application that will find photos of a person based on a sample image by using the Face API.
You need to create a POST request to find the photos.
How should you complete the request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all.
You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:
Box 1: detect -
Face - Detect With Url: Detect human faces in an image, return face rectangles, and optionally with faceIds, landmarks, and attributes.
POST {Endpoint}/face/v1.0/detect
Box 2: matchPerson -
Find similar has two working modes, "matchPerson" and "matchFace". "matchPerson" is the default mode that it tries to find faces of the same person as possible by using internal same-person thresholds. It is useful to find a known person's other photos. Note that an empty list will be returned if no faces pass the internal thresholds. "matchFace" mode ignores same-person thresholds and returns ranked similar faces anyway, even the similarity is low. It can be used in the cases like searching celebrity-looking faces.
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/detectwithurl https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
Box 1 is "findsimilars", others do not match the given request body and make no sense anyway. https://docs.microsoft.com/en-us/rest/api/faceapi/face/find-similar
cool. correct answer!
definitely find-similar, as it is the only one whose body parameters correspond
findsimilars and matchPerson https://docs.microsoft.com/en-us/rest/api/faceapi/face/find-similar?tabs=HTTP#find-similar-results-example "matchPerson" is the default mode that it tries to find faces of the same person as possible by using internal same-person thresholds. It is useful to find a known person's other photos. Note that an empty list will be returned if no faces pass the internal thresholds. "matchFace" mode ignores same-person thresholds and returns ranked similar faces anyway, even the similarity is low. It can be used in the cases like searching celebrity-looking faces.
1. findsimilars 2. matchPerson https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/how-to/find-similar-faces?tabs=rest#find-and-print-matches The Find Similar operation does face matching between a target face and a set of candidate faces, finding a smaller set of faces that look similar to the target face. This is useful for doing a face search by image.
Box 1: findsimilars Box 2: matchPerson https://dev.cognitive.azure.cn/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237
The Answer is correct. The question asks to "find photos of a person based on a sample image". Key is "based on a sample image". Only detect does this : https://docs.microsoft.com/en-us/rest/api/faceapi/face/detect-with-url. Find Similars is used to search the similar-looking faces from a faceId array, a face list or a large face list
detect does not take faceid. Cannot be detect !
Correct!
https://docs.microsoft.com/en-us/rest/api/faceapi/face/find-similar
Looking at the ENTIRE document the answer has to be findsimilar: You cannot send the properties like faceListID and largeFaceListId to /detect
FIRST BOX IDEBTIFY SECOND BOX NOTHING POST {Endpoint}/face/v1.0/identify Ocp-Apim-Subscription-Key: {API key} { "largePersonGroupId": "sample_group", "faceIds": [ "c5c24a82-6845-4031-9d5d-978df9175426", "65d083d4-9447-47d1-af30-b626144bf0fb" ], "maxNumOfCandidatesReturned": 1, "confidenceThreshold": 0.5 }
Box 1 is findsimilars. Box 2 is matchPerson and the provided explanation is correct
Seems FIND SIMILAR AND MATCHPERSON
Box 1 - FindSimilar Box 2 - matchPerson (We have to find based on a sample photo)
Final Answer: findsimilars and matchPerson
1. findsimilars 2. matchPerson
1. findsimilars 2. matchPerson
1. findsimilars 2. matchPerson
1. findsimilars 2. matchPerson