Train a Computer Vision Model with Vertex AI

Vertex AI, a part of the Google Cloud Platform, offers comprehensive tools for labeling data, training, and deploying computer vision models, with the guide illustrating the process of training a model to detect solar panels. It emphasizes the use of Roboflow for data labeling, which provides robust annotation tools and seamless data export capabilities to platforms like Vertex AI. The guide details steps such as labeling data, augmenting datasets, importing data into Vertex AI, and configuring and executing a training job using AutoML. Once trained, the model can be deployed and tested on Vertex AI, with the guide noting that while predictions were made, some required filtering for accuracy. Additionally, Roboflow is highlighted for its ease of use in training and deploying models, offering a streamlined process for testing models without manual endpoint deployment.