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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 |
|---|---|
| 2026-07-30 | 497 |
| 2026-08-11 | 499 |
| 2026-08-18 | 503 |
| 2026-08-19 | 505 |
| 2026-09-02 | 507 |
| 2026-09-03 | 509 |
| 2026-09-09 | 510 |
| 2026-09-11 | 511 |
| 2026-09-12 | 512 |
| 2026-09-15 | 513 |
| 2026-09-16 | 514 |
| 2026-09-18 | 514 |
| 2026-09-19 | 514 |
| 2026-09-22 | 515 |
| 2026-09-27 | 514 |
| 2026-09-30 | 515 |
| 2026-10-05 | 516 |
| 2026-10-06 | 518 |
| 2026-10-13 | 520 |
| 2026-10-16 | 521 |
| 2026-10-17 | 522 |
| 2026-10-19 | 523 |
| 2026-10-20 | 524 |
| 2026-10-23 | 525 |
| 2026-10-27 | 526 |
| 2026-10-28 | 526 |
| 2026-10-29 | 526 |
| 2026-10-30 | 527 |
| 2026-10-31 | 528 |
| 2026-11-01 | 528 |
| 2026-11-02 | 529 |
| 2026-11-03 | 530 |
| 2026-11-04 | 531 |
Today
+1 stars today
This week
+5 stars this week
This month
+15 stars this month
Momentum
69.0
growth rate 0.95%/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) (shipped with `nms=False` for NMS-free inference). 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://cdn.ul.run/i/4d2098fa5d7bc0e5a5aa28660da41eb4.avif" 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
- Opt-in Apple Core AI (`.aimodel`) models on iOS 27 and later devices; Core ML (`.mlpackage`) remains the default
- 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 and YOLO11 models supported, including NMS-free and raw outputs
- 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 Excerpt of 23,181 characters
Read on GitHub
Glenn Jocher · @ultralytics · United States
146
Daisuke Majima · Japan
18
Ultralytics Assistant · @ultralytics
11
9
8
Paula Derrenger · @ultralytics · Spain
6
Alexis Schutzger · Ultralytics · United Kingdom
1
Onuralp SEZER · @ultralytics · Turkey
1
1
1
1
Mohammed Yasin · @ultralytics · Malaysia
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:40767b1064b85f07, topic:object-detection, topic:yolo, topic:image-classification