Why I Chose AutoML Over Imagen for Precise Image Control

1. 1Build a custom dataset using your own images and labels
2. 2Configure AutoML Vision on Google Cloud to train a model
3. 3Deploy the model using Vertex AI for inference
4. 4Test the model's performance on a validation set
5. 5Fine-tune the model as needed for improved precision

Machine learning engineers and data scientists can benefit from this guide to build custom image models, while product managers can use this knowledge to inform product decisions

💡 AutoML Vision provides a flexible and precise way to control image models, making it a good choice over Imagen for certain use cases

Build custom image models on Google Cloud with AutoML Vision & Vertex AI