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---
base_model:
- Ultralytics/YOLO11
pipeline_tag: object-detection
library_name: ultralytics
tags:
- yolov11
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- ui
datasets:
- MacPaw/Screen2AX-Group
license: agpl-3.0
---
# πŸ” YOLOv11l β€” UI Groups Detection
This model is a fine-tuned version of [`Ultralytics/YOLO11`](https://huggingface.co/Ultralytics/YOLO11), trained to detect **UI groups** (e.g., toolbars, tab groups) in macOS application screenshots.
It is part of the **Screen2AX** project, a research-driven effort to generate accessibility metadata for macOS applications using vision-based techniques.
---
## 🧠 Task Overview
- **Task:** Object Detection
- **Target:** macOS UI groups
- **Supported Label(s):**
```
['AXGroup']
```
This model detects higher-level UI groupings that are commonly used to structure accessible interfaces (e.g., `AXGroup`, `AXTabGroup`, `AXToolbar`, etc.).
---
## πŸ—‚ Dataset
- **Training data:** [`MacPaw/Screen2AX-Group`](https://huggingface.co/datasets/MacPaw/Screen2AX-Group)
---
## πŸš€ How to Use
### πŸ”§ Install Dependencies
```bash
pip install huggingface_hub ultralytics
```
### πŸ§ͺ Load the Model and Run Predictions
```python
from huggingface_hub import hf_hub_download
from ultralytics import YOLO
# Download the model from the Hugging Face Hub
model_path = hf_hub_download(
repo_id="MacPaw/yolov11l-ui-groups-detection",
filename="ui-groups-detection.pt"
)
# Load and run prediction
model = YOLO(model_path)
results = model.predict("/path/to/your/image")
# Visualize or process results
results[0].show()
```
---
## πŸ“œ License
This model is licensed under the **GNU Affero General Public License v3.0 (AGPL-3.0)**, inherited from the original YOLOv11 base model.
---
## πŸ”— Related Projects
- [Screen2AX Project](https://github.com/MacPaw/Screen2AX)
- [Screen2AX HuggingFace Collection](https://huggingface.co/collections/MacPaw/screen2ax-687dfe564d50f163020378b8)
- [YOLOv11l β€” UI Elements Detection](https://huggingface.co/MacPaw/yolov11l-ui-elements-detection)
---
## ✍️ Citation
If you use this model, please cite the Screen2AX paper:
```bibtex
@misc{muryn2025screen2axvisionbasedapproachautomatic,
title={Screen2AX: Vision-Based Approach for Automatic macOS Accessibility Generation},
author={Viktor Muryn and Marta Sumyk and Mariya Hirna and Sofiya Garkot and Maksym Shamrai},
year={2025},
eprint={2507.16704},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2507.16704},
}
```
---
## 🌐 MacPaw Research
Learn more at [https://research.macpaw.com](https://research.macpaw.com)