AI-900 Question 160
Select 3You are developing a retail application that uses object detection to identify products on store shelves. Which of the following are key features of an object detection solution in Microsoft Azure that would help you implement this functionality?
- A
Detecting the location and boundaries of objects in an image
- B
Classifying objects into predefined categories without identifying their location
- C
Providing confidence scores for detected objects
- D
Automatically generating captions for images based on detected objects
- E
Detecting multiple objects within a single image
Show answer and explanation
Correct answers: A, C, E
Explanation
Object detection solutions in Microsoft Azure are designed to identify objects within an image, determine their locations, and provide confidence scores for those detections. These features make object detection ideal for scenarios like identifying multiple products on a store shelf. However, object detection is distinct from image classification and image captioning, which focus on different tasks like categorizing images or describing them in natural language.
- A. Correct.
Correct: Object detection identifies not only the objects in an image but also their exact location and boundaries, making this a key feature for use cases like detecting products on shelves.
- B. Incorrect.
Incorrect: Classifying objects into predefined categories is a feature of image classification, not object detection. Object detection goes beyond classification to locate objects within an image.
- C. Correct.
Correct: Object detection solutions provide confidence scores, which indicate the likelihood that the detected object matches a given category. This helps in evaluating the accuracy of detections.
- D. Incorrect.
Incorrect: Generating captions based on detected objects is a feature of image captioning, not object detection. Object detection focuses on identifying and locating objects in an image.
- E. Correct.
Correct: Object detection can recognize and locate multiple objects within a single image, making it suitable for scenarios like product identification in retail environments.