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Datasets:
shirve13
/
Demo

Tasks:
Image Segmentation
Sub-tasks:
semantic-segmentation
Languages:
English
Size:
1K<n<10K
License:
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metadata
annotations_creators:
  - user-generated
language:
  - en
language_creators:
  - user-generated
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - image-segmentation
task_ids:
  - semantic-segmentation
paperswithcode_id: null
configs:
  - config_name: default
    data_files:
      - split: train
        path: visionreasoner_dataset.parquet
    default: true

Dataset Card for VisionReasoner UI Dataset

Dataset Description

Dataset Summary

The VisionReasoner UI Dataset contains user interface (UI) images along with associated annotation prompts and solutions for fine-tuning the VisionReasoner model. This dataset is designed for semantic segmentation tasks on UI elements.

Supported Tasks and Leaderboards

  • Semantic Segmentation: The dataset is designed for segmenting UI elements based on natural language prompts.

Languages

The dataset is in English.

Dataset Structure

Data Instances

Each instance contains:

  • id: Unique identifier for the sample
  • problem: Natural language prompt describing the UI element to segment
  • solution: JSON-formatted segmentation solution with bounding boxes and points
  • image: UI image in WebP format
  • img_height: Image height in pixels
  • img_width: Image width in pixels

Data Fields

  • id (string): Unique identifier for each sample
  • problem (string): Annotation prompt describing the UI element to segment
  • solution (string): JSON-formatted segmentation solution
  • image (image): UI image file
  • img_height (int32): Image height in pixels
  • img_width (int32): Image width in pixels

Data Splits

  • Train: 245 samples

Dataset Creation

Source Data

Initial Data Collection and Normalization

The dataset was created by collecting UI screenshots and annotating them with segmentation prompts and solutions.

Who are the source language producers?

The dataset was created by the author for research purposes.

Annotations

Annotation process

UI elements were manually annotated with bounding boxes and segmentation masks based on natural language descriptions.

Who are the annotators?

The annotations were created by the dataset author.

Personal and Sensitive Information

The dataset contains UI screenshots but does not contain personal or sensitive information.

Additional Information

Dataset Curators

The dataset was curated by shirve13.

Licensing Information

This dataset is licensed under the MIT License.

Citation Information 

@dataset{visionreasoner_ui_dataset,
  title={VisionReasoner UI Dataset},
  author={shirve13},
  year={2024},
  url={https://huggingface.co/datasets/shirve13/Demo}
}

Contributions

Thanks to the Hugging Face community for providing the platform to share this dataset.