How to Build Computer Vision Models with Apple CreateML
Blog post from Roboflow
CreateML is a machine learning tool by Apple that allows users to develop models for images, sound, text, and more within the Apple ecosystem. It offers a no-code environment for training models, particularly useful in computer vision tasks like image classification and object detection. While CreateML simplifies the model training process, users must convert data into Apple's proprietary JSON format, often requiring additional steps unless they use a tool like Roboflow for conversion. To build a computer vision model, users collect and label data, configure an object detection model in CreateML, and train it, monitoring metrics like validation loss and Intersection Over Union to evaluate performance. The platform allows for iterative improvements by retraining models with additional or augmented data, aiming to enhance the model's generalization and accuracy. Once trained, models can be integrated into applications, exemplified by deploying them in live camera feeds on iPhones.