AI-900 Question 16
Single answerA retail company wants to implement a solution that automatically tracks items on store shelves to identify when a product is out of stock. Which of the following computer vision workloads would be most suitable for this scenario?
- A
Image classification
- B
Object detection
- C
Optical character recognition (OCR)
- D
Facial recognition
Show answer and explanation
Correct answer: B
Explanation
Object detection is the correct workload for this scenario because it can identify and locate specific objects (e.g., products) within an image. This capability is essential for monitoring store shelves and detecting when items are out of stock. Other workloads, such as image classification or OCR, do not provide the precise object-level detection and localization required for this task.
- A. Incorrect.
Image classification assigns a label to the entire image but does not provide the location of specific objects within the image. This workload is not suitable for tracking specific items on shelves.
- B. Correct.
Object detection identifies and locates specific objects within an image, making it the most appropriate workload for tracking items on store shelves.
- C. Incorrect.
Optical character recognition (OCR) is used to extract text from images or documents. It is not relevant to identifying and tracking objects like store products.
- D. Incorrect.
Facial recognition is used to identify or verify individuals based on facial features. It is not applicable to tracking items on shelves.