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---
license: mit
task_categories:
- object-detection
tags:
- ui
- user-interface
- web-design
- gui
pretty_name: Web UI Dataset
size_categories:
- n<1K
language:
- ru
- en
---
# Web UI Dataset
## Dataset Description
This dataset consists of real-world screenshots of web user interfaces, annotated for object detection. It is designed to be used in pair with the [Synthetic UI Dataset](https://huggingface.co/datasets/egnch/synthetic-ui) for fine-tuning and model validation.
- **Total Images:** 250
- **Task:** Object Detection
- **Source:** Annotation of websites screenshots
## Dataset Structure
### Classes
The dataset annotates **6 distinct classes** of UI elements:
1. **button**: Buttons of various styles.
2. **input**: Input fields, text areas, and dropdown lists.
3. **checkbox**: Selection elements including checkboxes, radio buttons, and switches/toggles.
4. **image**: Visual content including standard images, user avatars, and banners.
5. **header**: Visual headers and highlights.
6. **text**: Text content blocks, paragraphs, labels, and descriptions.
### Data Splits
The dataset is split into training and validation sets with a **90/10 ratio**:
| Split | Percentage | Number of Images |
| :--- | :--- | :--- |
| **Train** | 80% | 185 |
| **Validation** | 20% | 45 |
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("egnch/real-ui")
# Example: View the first training example
print(dataset["train"][0])
```
## Additional Information
### Annotation Distribution
| Class Label | Description | Count | Distribution (Approx.) |
| ----- | ----- | ----- | ----- |
| **text** | Text content blocks, paragraphs, labels | 2938 | ~50% |
| **button** | Buttons of various styles | 955 | ~15% |
| **image** | Visual content, avatars, banners | 508 | ~10% |
| **header** | Visual headers and highlights | 446 | ~10% |
| **input** | Input fields, text areas, dropdowns | 431 | ~10% |
| **checkbox** | Checkboxes, radio buttons, switches | 263 | ~5% |
### Licensing
This dataset is licensed under the MIT License. |