/Live-Object-Recognition-CoreML

This contains iOS template project that can be used to run your own CoreML Object Detection Model

Primary LanguageSwift

Object Detection and Segmentation MakeML

MakeML is a Developer Tool for Creating Object Detection and Segmentation Neural Networks without a Line of Code. It's built to make the training process easy to setup. It is designed to handle data sets, training configurations, markup and training processes — all in one place.

Live Object Recognition Example with CoreML

Is an iOS template project example that can be used to run your own CoreML Object Detection Model.

Train Custom Object Detection CoreML model

MakeML object detection and segmentation ML models

With MakeML you can prepare dataset and train CoreML model with Tensorflow or Turi Create frameworks in one application.

See the Tutorial for the training object detection model without a line of code with macOS desktop application.

Using another .mlmodel in iOS application

MakeML object detection and segmentation ML models MakeML object detection and segmentation ML models

For using this project with another .mlmodel file, add it to the project and change this line with your name of the model.

guard let modelURL = Bundle.main.url(forResource: "Model", withExtension: "mlmodelc") else {
    return NSError(domain: "VisionObjectRecognitionViewController", code: -1, userInfo: [NSLocalizedDescriptionKey: "Model file is missing"])
}

Links

More Tutorials | MakeML in App Store | Full Documentation | MakeML Chat | Support page