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NEW QUESTION: 1
Betrachten Sie das folgende Beispiel für TAS-Metriken.
Zeit für die Durchführung automatisierter Tests
Geschwindigkeit und Effizienz von TAS-Komponenten
Welche der folgenden Aussagen ist wahr?
A. A ist eine interne TAS-Metrik und B ist eine externe TAS-Metrik
B. A ist eine externe TAS-Metrik und b ist eine interne TAS-Metrik
C. A und b sind beide externe TAS-Metriken
D. A und B sind beide interne TAS-Metriken
Answer: D
NEW QUESTION: 2
Match the types of computer vision 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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Facial recognition
Face detection that perceives faces and attributes in an image; person identification that matches an individual in your private repository of up to 1 million people; perceived emotion recognition that detects a range of facial expressions like happiness, contempt, neutrality, and fear; and recognition and grouping of similar faces in images.
Box 2: OCR
Box 3: Objection detection
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like "indoor", which can't be localized with bounding boxes.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
NEW QUESTION: 3
What are the application scenarios for the break statement in the Python language? (Multiple Choice)
A. for loop statement
B. Nested loop statement
C. while loop statement
D. Any Python statement
Answer: A,B,C