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README.md
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---
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dataset_info:
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features:
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- name: image
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list: string
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splits:
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- name: train
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num_bytes:
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num_examples: 555
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- name: valid
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num_bytes:
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num_examples: 114
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- name: test
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num_bytes:
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num_examples: 139
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download_size:
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dataset_size:
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configs:
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- config_name: default
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data_files:
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path: data/valid-*
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- split: test
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path: data/test-*
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---
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---
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license: apache-2.0
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dataset_info:
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features:
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- name: image
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list: string
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splits:
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- name: train
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num_bytes: 99969538
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num_examples: 555
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- name: valid
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num_bytes: 19950524
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num_examples: 114
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- name: test
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num_bytes: 25245828
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num_examples: 139
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download_size: 99748336
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dataset_size: 145165890
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configs:
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- config_name: default
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data_files:
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path: data/valid-*
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- split: test
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path: data/test-*
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task_categories:
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- object-detection
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pretty_name: Screen2AX-Group
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size_categories:
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- n<1K
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---
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# π¦ Screen2AX-Group
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Screen2AX-Group is part of the **Screen2AX** dataset suite, a research-driven collection for advancing accessibility in macOS applications using computer vision and deep learning.
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This dataset focuses on **UI group detection** from macOS application screenshots and is designed for training and evaluating object detection models.
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---
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## π§ Dataset Summary
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Each sample in the dataset consists of:
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- An application **screenshot** (`image`)
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- A dictionary of **UI elements** (`objects`) with 2 keys:
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- `bbox` (`List[List[int]]`): List of bounding box coordinates in `[x_min, y_min, x_max, y_max]` format
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- `category` (`List[str]`): List of labels indicating the UI group type (`AXGroup`, `AXTabGroup`, `AXToolbar`, etc.)
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The dataset supports training deep learning models for object detection tasks specifically tuned for graphical user interfaces (GUIs) on macOS.
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**Splits:**
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- `train`
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- `valid`
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- `test`
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**Task Category:**
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- `object-detection`
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---
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## π Usage
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### Load with `datasets` library
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```python
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from datasets import load_dataset
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dataset = load_dataset("MacPaw/Screen2AX-Group")
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```
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### Example structure
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```python
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sample = dataset["train"][0]
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print(sample.keys())
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# dict_keys(['image', 'objects'])
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print(sample["objects"])
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# {'bbox': [[x_min, y_min, x_max, y_max], ...], 'category': ['AXGroup', ...]}
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```
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---
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## π License
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This dataset is licensed under the **Apache 2.0 License**.
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---
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## π Related Projects
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- [Screen2AX Main Project Page](https://github.com/MacPaw/Screen2AX)
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- [Screen2AX HuggingFace Collection](https://huggingface.co/collections/MacPaw/screen2ax-687dfe564d50f163020378b8)
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---
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## βοΈ Citation
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If you use this dataset, please cite the Screen2AX paper:
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```bibtex
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...
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```
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---
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## π MacPaw Research
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Learn more at [https://research.macpaw.com](https://research.macpaw.com)
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