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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.
| Date | Stars |
|---|---|
| 2026-07-24 | 497 |
| 2026-07-25 | 497 |
| 2026-07-28 | 497 |
| 2026-07-30 | 497 |
| 2026-08-06 | 497 |
Today
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This week
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Momentum
35.0
growth rate 0.00%/day
<a href="https://www.ultralytics.com/"><img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" width="320" alt="Ultralytics logo"></a>
[English](README.md) | [简体中文](README.zh-CN.md)
# 🚀 Ultralytics YOLO for iOS: App and Swift Package
[](https://github.com/ultralytics/yolo-ios-app/actions/workflows/format.yml)
[](https://github.com/ultralytics/yolo-ios-app/actions/workflows/ci.yml)
[](https://app.codecov.io/github/ultralytics/yolo-ios-app)
[](https://cocoapods.org/pods/UltralyticsYOLO)
[](https://discord.com/invite/ultralytics)
[](https://community.ultralytics.com/)
[](https://reddit.com/r/ultralytics)
[Ultralytics YOLO](https://github.com/ultralytics/ultralytics) for iOS provides on-device [real-time inference](https://www.ultralytics.com/glossary/real-time-inference) for [object detection](https://www.ultralytics.com/glossary/object-detection), instance segmentation, semantic segmentation, depth estimation, classification, pose estimation, and oriented bounding box detection. The SDK supports both [YOLO11](https://docs.ultralytics.com/models/yolo11) (with Core ML NMS) and [YOLO26 models](https://platform.ultralytics.com/ultralytics/yolo26) (NMS-free, with Swift-side postprocessing). Download the app from the [App Store](https://apps.apple.com/app/ultralytics-yolo/id1452689527), or integrate the Swift package into your own applications.
<div align="center">
<br>
<a href="https://apps.apple.com/app/ultralytics-yolo/id1452689527" target="_blank"><img width="100%" src="https://github.com/user-attachments/assets/d5dab2e7-f473-47ce-bc63-69bef89ba52a" alt="Ultralytics YOLO iOS App previews"></a>
<br>
<br>
<a href="https://apps.apple.com/app/ultralytics-yolo/id1452689527" style="text-decoration:none;">
<img src="https://raw.githubusercontent.com/ultralytics/assets/main/app/app-store.svg" width="15%" alt="Apple App store"></a>
<a href="https://play.google.com/store/apps/details?id=com.ultralytics.yolo" style="text-decoration:none;">
<img src="https://raw.githubusercontent.com/ultralytics/assets/main/app/google-play.svg" width="15%" alt="Get it on Google Play"></a>
</div>
## ✨ Features
- Swift and Core ML throughout, running on the Apple Neural Engine and GPU
- Camera-rate (~30 FPS) real-time inference on recent iPhones — see [docs/performance.md](docs/performance.md) for on-device profiling
- Native UI following Apple interface guidelines
- YOLO26 (NMS-free) and YOLO11 models both supported
- No third-party dependencies — pure Swift on Apple's first-party frameworks
| Feature | iOS | Details |
| ------------------------------------- | --- | --------------------------------------------- |
| Object Detection | ✅ | Bounding boxes, labels, and confidence scores |
| Instance Segmentation | ✅ | Instance masks with boxes and classes |
| Semantic Segmentation | ✅ | Dense per-pixel class maps |
| Depth Estimation | ✅ | Dense metric depth maps |
| Image ClassExcerpt of 18,023 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:3003e0426a5c29ee, topic:object-detection, topic:yolo, topic:image-classification