Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Can the Custom Vision service be utilized to detect objects within an image?

1. Yes

2. No

3. Only in predefined categories

4. Only with a third-party library

The correct answer is: Yes

The Custom Vision service is designed to enable users to build and customize machine learning models tailored to their specific image classification and object detection needs. The primary purpose of this service is to train models using labeled images that users provide, enabling the detection of objects within images. This means that users can upload images, tag the specific objects of interest, and then train a model that learns to recognize those objects in new, unseen images. One of the key features of the Custom Vision service is its flexibility, allowing users to create custom tags and categories for their specific use cases. This is particularly valuable in environments where predefined categories may not suffice, as users can define their own categories based on their unique requirements. This makes the capability to detect objects within an image not only feasible but a core function of the Custom Vision service. It empowers businesses and developers to leverage machine learning for applications such as retail inventory management, quality control in manufacturing, and many other scenarios that require object detection.