Train a Computer Vision Model with Azure Custom Vision
Blog post from Roboflow
Azure Custom Vision, part of the Azure AI suite, allows users to develop computer vision models by facilitating data labeling, model training, and deployment. The process involves using Roboflow, a comprehensive platform for data management and model training, to label images and prepare datasets. Users are guided to create a Custom Vision instance within their Azure account, import labeled data from Roboflow, and initiate model training. Once the model is trained, its performance is evaluated, and users can deploy it using Azure's platform features. Roboflow supports various data formats and provides tools for data augmentation to improve model performance. The guide also highlights additional resources like the supervision Python package, which enhances computer vision applications by offering utilities for prediction filtering and object tracking.