Dream ML 1.1.1

Dream ML offers a user-friendly platform for training your device to recognize a wide range of objects. It provides an accessible means to experiment with artificial intelligence while developing practical tools.

The process of creating a model generally involves three key steps: assigning a relevant name to the model, establishing categories for object differentiation, and compiling training and reference images for each category. Subsequently, Dream ML performs offline calculations on your device to generate an appropriate model. Users can then test the model instantaneously using their device’s camera.

Core features include:

• Creating, naming, gathering data, training, and evaluating models within a single application

Additional features encompass:

• Exporting and managing trained models
• Achievement system with over 20 milestones
• Access to informative articles to enhance understanding of the platform and its capabilities