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GuideDog Gold Dataset
Human-verified gold-standard annotations for blind and low-vision (BLV) navigation assistance.
Dataset Description
GuideDog Gold is a curated dataset of egocentric street-view images with human-verified annotations designed to help develop assistive AI systems for blind and low-vision users. Each image contains:
- Scene descriptions with spatial context
- Object detection with clock-direction localization (10-2 o'clock range)
- Depth information for detected objects
- Hazard annotations identifying safety-critical elements
- Gold-standard guidance text following BLV navigation standards
Annotation Standards
Annotations follow the GuideDog S1/S2/S3 framework:
- S1: Scene description and user position context
- S2: Hazards at clock directions with distances
- S3: Summary and recommended navigation direction
Intended Use
This dataset is intended for:
- Training and evaluating vision-language models for BLV assistance
- Research on proactive navigation guidance systems
- Benchmarking multimodal models on accessibility tasks
Ethical Considerations
- All images are sourced from publicly available walking tour videos
- No personally identifiable information is included
- Dataset is provided for research purposes only
Citation
If you use this dataset, please cite:
@article{guidedog2024,
title={GuideDog: Proactive Navigation Assistance for Blind and Low-Vision Users},
author={[Authors]},
journal={arXiv preprint},
year={2024}
}
License
This dataset is licensed under CC BY-NC 4.0.
Contact
For questions or issues, please contact the dataset maintainers through the HuggingFace discussion tab.
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