CoreML-Practice-with-SwiftUI

This Project is IN PROGRESS

This is a CoreML Practice with SwiftUI. Pretrained Models from Apple CoreML Models.

Included Demos

• FCRN-DepthPrediction FCRN-DepthPrediction: Predict the depth from a single image.
• MNISTClassifier MNIST: Classify a single handwritten digit (supports digits 0-9).
• ImageClassifier
  • MobileNetV2: The MobileNetv2 architecture trained to classify the dominant object in a camera frame or image 、
  • Resnet50: A Residual Neural Network that will classify the dominant object in a camera frame or image 、
  • SqueezeNet: A small Deep Neural Network architecture that classifies the dominant object in a camera frame or image.
• Object Detection YOLOv3: Locate and classify 80 different types of objects present in a camera frame or image.

How to use