AI-900 Question 156
Select 3A retail company wants to use an object detection solution to identify products on store shelves and ensure accurate inventory tracking. Which features of an object detection solution would be most relevant for this scenario?
- A
Ability to detect multiple objects in a single image
- B
Support for real-time processing of video streams
- C
Capability to classify objects into predefined categories
- D
Integration with natural language processing (NLP) for product descriptions
- E
High accuracy in locating objects with bounding boxes
Show answer and explanation
Correct answers: A, B, E
Explanation
Object detection solutions are designed to identify and locate objects within images or video. For a retail scenario, key features include the ability to detect multiple objects (to identify many products on a shelf), real-time processing (for dynamic inventory tracking), and high accuracy in locating objects (to ensure reliable results). Classification and NLP are separate AI capabilities that do not directly apply to object detection in this context.
- A. Correct.
The ability to detect multiple objects in a single image is crucial for identifying multiple products on a store shelf at once.
- B. Correct.
Real-time processing of video streams can help track inventory dynamically as surveillance footage is processed.
- C. Incorrect.
Object detection focuses on identifying and locating objects, not classifying them into categories. Classification is a different AI task.
- D. Incorrect.
NLP is not directly related to object detection. While it can be useful for other tasks, it is not relevant for detecting products on shelves.
- E. Correct.
High accuracy in locating objects with bounding boxes ensures precise identification of products and helps avoid errors in inventory tracking.