AI-900 Question 144
Select 3A retail company wants to implement a solution to automatically identify and categorize products on their shelves using images captured by in-store cameras. They are considering using Azure's computer vision services. Which features of Azure's Computer Vision service would be most relevant to this workload?
- A
Object detection to identify specific products in the images
- B
OCR (Optical Character Recognition) to extract text from product labels
- C
Image tagging to generate descriptive tags for the images
- D
Face detection to identify and track customer faces in the images
- E
Custom Vision to create a model tailored to recognize the company’s unique product catalog
Show answer and explanation
Correct answers: A, C, E
Explanation
The features most relevant to this scenario are Object Detection, which can identify products on the shelves; Image Tagging, which adds descriptive tags to aid categorization; and Custom Vision, which enables the creation of a specialized model tailored to the company's product catalog. OCR and Face Detection are not applicable as the scenario does not involve text extraction or customer identification.
- A. Correct.
Object detection is relevant because it can identify specific products in the images, which is essential for categorizing items on shelves.
- B. Incorrect.
OCR (Optical Character Recognition) is not directly relevant in this scenario because the focus is on identifying and categorizing products, not extracting text from labels.
- C. Correct.
Image tagging is useful as it can provide descriptive labels for the products, which can assist in categorization.
- D. Incorrect.
Face detection is not relevant because the scenario is focused on products, not customer faces.
- E. Correct.
Custom Vision is highly relevant because the company can train a model to specifically recognize their unique product catalog, improving accuracy compared to general-purpose models.