CoreML-Models

Overview

CoreML-Models is a model zoo of machine learning models already converted to Core ML format, maintained by Daisuke Majima. You browse the list, download the model you want and bundle it in your app, and many entries link to a sample project showing how to use it. It covers image classification, object detection, tracking, segmentation and more.

Features

• Image classifiers such as EfficientNet, Vision Transformer and MobileViTv2
• Object detection models including D-FINE, RF-DETR and YOLO versions up to YOLO26 and YOLO-World
• Multi-object tracking with ByteTrack
• Segmentation models such as U2Net, IS-Net, RMBG1.4 and Segformer
• Each entry lists size, dataset, original project and licence
• Links to a separate Core AI start page, model zoo and CoreAIKit for .aimodel bundles on iOS 27 and macOS 27

Requirements

The source doesn't list any requirements, so check the project's own docs before you install.

Install

1. Find the model you want, download it from its Google Drive link and add it to your Xcode project