You are tasked with developing a custom image classification model for a retail company to identify different types of products on their shelves. The company has provided you with a dataset of 10,000 images, divided into 50 categories. Describe the steps you would take to train this model using Azure AI Vision, including how you would label the images, the type of model you would choose, and how you would evaluate its performance.

Simulated

Label images manually, choose an object detection model, train using default settings, and evaluate using accuracy.

0.0%

Use automated labeling, choose an image classification model, train with custom hyperparameters, and evaluate using precision and recall.

33.3%

Label images manually, choose an image classification model, train with default settings, and evaluate using F1 score.

33.3%

Use automated labeling, choose an object detection model, train with custom hyperparameters, and evaluate using mean average precision.

33.3%

Microsoft Certified Azure AI Engineer Associate - AI-102