Does the Custom Vision service require users to supply their own data for training the model?

The Custom Vision service in Microsoft Azure is designed to allow users to train image classification models tailored to their specific needs. To achieve this, users must supply their own labeled images that represent the categories they want the model to recognize. This data is crucial as it ensures that the model learns from real examples relevant to the user's application.

This service relies on user-provided data for various reasons, including the need for specificity in the training data, which enhances the model's accuracy and performance in real-world applications. Generic or pre-existing datasets may not align with the unique characteristics of the user's images, making custom data necessary.

While the service might provide sample data for initial testing or demonstration purposes, effective model training and fine-tuning depend primarily on the users providing their own relevant image datasets. Thus, the correct understanding is that users must indeed supply their own data for training the model.