Duplicate from IndextDataLab/windows-ui-synth

Co-authored-by: yehor <woofah@users.noreply.huggingface.co>

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README.md

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+---
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+  - name: validation
+  - name: test
+license: mit
+task_categories:
+- object-detection
+tags:
+- synthetic
+- windows-ui
+- yolo
+- ui-elements
+pretty_name: Windows UI Element Detector
+---
+
+# Windows UI Synthetic Dataset (ui_synth_v2)
+
+## Description
+
+A synthetic dataset of 3 000 Windows-style UI screenshots with bounding box annotations for interactive UI elements. Designed for training lightweight object detectors to serve as a computer-vision fallback in Windows UI automation agents.
+
+## Classes
+
+| ID | Class      | Description                       |
+|----|------------|-----------------------------------|
+| 0  | button     | Clickable buttons                 |
+| 1  | textbox    | Text input fields                 |
+| 2  | checkbox   | Checkbox controls                 |
+| 3  | dropdown   | Dropdown/combobox selectors       |
+| 4  | icon       | Clickable icons                   |
+| 5  | tab        | Tab controls                      |
+| 6  | menu_item  | Menu items in sidebars/menus      |
+
+## Generation Method
+
+Screenshots are generated by rendering HTML/CSS templates with Playwright (Chromium). Each template represents a common Windows UI pattern (login form, settings panel, dialog, file explorer, etc.).
+
+**Domain randomization includes:**
+- Light/dark themes with random accent colors
+- Multiple font families (Segoe UI, Arial, Tahoma, Verdana, Calibri)
+- Variable viewport sizes (1280x720, 1440x900, 1920x1080)
+- Random device scale factors (1.0, 1.25, 1.5)
+- Random text content (English)
+- Post-rendering augmentation: JPEG compression, blur, noise, brightness/contrast jitter
+
+**Templates (10):** login, settings, table, dialog, sidebar, modal, dropdown_open, tabs, toolbar, form_long.
+
+**Bounding boxes** are extracted directly from DOM `getBoundingClientRect()` queries on elements marked with `data-ui` attributes, ensuring pixel-accurate annotations without manual labeling.
+
+## Label Format
+
+Labels are provided in **YOLO format**: one `.txt` file per image with lines of `class_id cx cy w h` (normalized 0-1 coordinates).
+
+## Dataset Structure
+
+```
+ui_synth_v2/
+├── images/
+│   ├── train/
+│   ├── val/
+│   └── test/
+├── labels/
+│   ├── train/
+│   ├── val/
+│   └── test/
+├── data.yaml
+└── meta.jsonl
+```
+
+## Splits
+
+| Split      | Images |
+|------------|--------|
+| train      | 2 400  |
+| validation | 300    |
+| test       | 300    |
+| **total**  | **3 000** |
+
+## Intended Use
+
+- Training UI element detectors for Windows UI automation fallback
+- Research in synthetic data generation for GUI understanding
+- Benchmarking object detection on UI-specific domains
+
+## Limitations
+
+- Synthetic data only — may not cover all real-world UI patterns
+- English text only
+- Windows 10/11 style only; does not cover macOS, Linux, or web UIs
+- Simple element classes; does not detect complex composite widgets
+
+## License
+
+MIT

data.yaml

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+path: /Users/yehor/Documents/workProjects/windowsUIdetector/datasets/ui_synth_v2
+train: images/train
+val: images/val
+test: images/test
+
+nc: 7
+names:
+  0: button
+  1: textbox
+  2: checkbox
+  3: dropdown
+  4: icon
+  5: tab
+  6: menu_item