Integrate machine learning models into your app for image recognition using core ML and Vision
Core ML lets you integrate a broad variety of machine learning model types into your app. In addition to supporting extensive deep learning with over 30 layer types, it also supports standard models such as tree ensembles, SVMs, and generalized linear models. Because it’s built on top of low level technologies like Metal and Accelerate, Core ML seamlessly takes advantage of the CPU and GPU to provide maximum performance and efficiency. You can run machine learning models on the device so data doesn't need to leave the device to be analyzed.
You can easily build computer vision machine learning features into your app. Supported features include face tracking, face detection, landmarks, text detection, rectangle detection, barcode detection, object tracking, and image registration.
Detects the dominant objects present in an image from a set of 1000 categories such as trees, animals, food, vehicles, people, and more.
https://ingenuity.ph/blog/silicon-valleys-seefood-app-using-swifts-core-ml/