Azure AutoML for Images: Baseline and beyond for Computer Vision models

Establish a baseline performance for State-of-the-Art (SoTA) computer vision models with ease and use tuning to take them a step further. Today's world of Computer Vision offers different models for tasks like Image Classification, Object Detection, and Instance Segmentation. Each of these models has its strengths like some being faster, some being more accurate or some being good at specifics like identifying small objects, detecting anomalies, etc. The optimal model to go for depends on the user scenario at hand. With Azure AutoML for Images, users can explore and select from a variety of SoTA algorithms for a computer vision task and optionally tune the hyperparameters to optimize model performance with ease.