Core ML Models

Build intelligence into your apps using machine learning models from the research community designed for Core ML

Models can be used with Core ML, Create ML, Xcode, and are available in a number of sizes and architecture formats. Refer to the model’s associated Xcode project for guidance on how to best use the model in your app.

Images

Images

FCRN-DepthPrediction Depth Estimation

Predict the depth from a single image.
MNIST Drawing Classification

Classify a single handwritten digit (supports digits 0-9)
MobileNetV2 Image Classification

The MobileNetv2 architecture trained to classify the dominant object in a camera frame or image.
Resnet50 Image Classification

A Residual Neural Network that will classify the dominant object in a camera frame or image.
SqueezeNet Image Classification

A small Deep Neural Network architecture that classifies the dominant object in a camera frame or image.
DeeplabV3 Image Segmentation

Segment the pixels of a camera frame or image into a predefined set of classes.
YOLOv3 Object Detection

Locate and classify 80 different types of objects present in a camera frame or image.
YOLOv3-Tiny Object Detection

Locate and classify 80 different types of objects present in a camera frame or image.
Text

Text

BERT-SQuAD Question Answering

Generate answers to questions about paragraphs of text.