Pocket AutoML

• Pocket AutoML lets artificial intelligence enthusiasts even without prior machine learning experience train a deep learning image classification model (a convolutional neural network) right on their devices and experiment with it.

• It can export models it in TensorFlow Lite format so a user can make a custom Android app based on it following the provided tutorial.

• Computer vision or deep learning professionals can also use it as a tool to create a quick proof-of-concept for transfer learning on their tasks without a single line of code.

• It trains a model right on on your device in seconds (for a dataset with dozens of images).

• It respects your privacy: your images are never uploaded anywhere as both training and prediction happens on your device.

• It does not need an internet connection for training and predicting.

• Just few images per class can be enough to train a model that accurately classifies objects (what is known as few-shot learning).