| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - visual-question-answering |
| - image-to-text |
| language: |
| - en |
| tags: |
| - blind |
| - low-vision |
| - accessibility |
| - egocentric |
| - navigation |
| - guidedog |
| size_categories: |
| - 10K<n<100K |
| gated: manual |
| extra_gated_heading: Request Access to GuideDog Dataset |
| extra_gated_prompt: 'This dataset is released for **non-commercial research purposes |
| only**. |
| |
| |
| By requesting access, you agree to: |
| |
| 1. Use this dataset solely for academic research |
| |
| 2. Not redistribute the dataset or any derived data |
| |
| 3. Cite our work in any publications using this dataset |
| |
| 4. Delete the dataset upon request from the authors |
| |
| |
| Access requests are reviewed manually by the dataset authors. |
| |
| ' |
| extra_gated_button_content: Submit Access Request |
| extra_gated_fields: |
| Full Name: text |
| Affiliation (University/Organization): text |
| Country: country |
| Email (institutional preferred): text |
| Research Purpose: |
| type: select |
| options: |
| - Academic Research |
| - Education |
| - Non-profit Research |
| - Other |
| Brief description of intended use: text |
| I agree to use this dataset for non-commercial research only: checkbox |
| I agree to cite the GuideDog paper in any publications: checkbox |
| configs: |
| - config_name: default |
| data_files: |
| - split: gold |
| path: data/gold-* |
| - split: silver |
| path: data/silver-* |
| - config_name: depth |
| data_files: |
| - split: train |
| path: depth/train-* |
| - config_name: object |
| data_files: |
| - split: train |
| path: object/train-* |
| dataset_info: |
| - config_name: default |
| features: |
| - name: image |
| dtype: image |
| - name: gold_label |
| dtype: string |
| - name: silver_label |
| dtype: string |
| - name: scene_location |
| dtype: string |
| - name: scene_description |
| dtype: string |
| - name: video_country |
| dtype: string |
| - name: video_city |
| dtype: string |
| splits: |
| - name: gold |
| num_bytes: 254609775 |
| num_examples: 2106 |
| - name: silver |
| num_bytes: 4446220487 |
| num_examples: 19978 |
| download_size: 4687100139 |
| dataset_size: 4700830262 |
| - config_name: depth |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: choices |
| list: string |
| - name: closer_raw |
| dtype: string |
| - name: closer |
| dtype: string |
| - name: closer_bbox |
| list: float64 |
| - name: closer_ratio_bbox |
| list: float64 |
| - name: closer_direction |
| dtype: string |
| - name: closer_depth |
| dtype: float64 |
| - name: closer_confidence |
| dtype: float64 |
| - name: farther_raw |
| dtype: string |
| - name: farther |
| dtype: string |
| - name: farther_bbox |
| list: float64 |
| - name: farther_ratio_bbox |
| list: float64 |
| - name: farther_direction |
| dtype: string |
| - name: farther_depth |
| dtype: float64 |
| - name: farther_confidence |
| dtype: float64 |
| - name: video_country |
| dtype: string |
| - name: video_city |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 367866047 |
| num_examples: 383 |
| download_size: 367856018 |
| dataset_size: 367866047 |
| - config_name: object |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: answer_raw |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: answer_bbox |
| list: float64 |
| - name: answer_ratio_bbox |
| list: float64 |
| - name: answer_direction |
| dtype: string |
| - name: answer_depth |
| dtype: float64 |
| - name: answer_confidence |
| dtype: float64 |
| - name: choices |
| list: string |
| - name: video_country |
| dtype: string |
| - name: video_city |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 52715500 |
| num_examples: 435 |
| download_size: 50044669 |
| dataset_size: 52715500 |
| --- |
| |
| # GuideDog Dataset |
|
|
| A benchmark dataset for blind and low-vision (BLV) navigation assistance with egocentric street-view images. |
|
|
| ## Dataset Splits |
|
|
| | Split | Samples | Description | |
| |-------|---------|-------------| |
| | `gold` | ~2000 | Human-verified gold-standard annotations | |
| | `silver` | ~20000 | VLM-generated annotations for training | |
|
|
| **Usage:** |
| ```python |
| from datasets import load_dataset |
| |
| # Load gold split (for evaluation) |
| gold = load_dataset("kjunh/GuideDog", split="gold") |
| |
| # Load silver split (for training) |
| silver = load_dataset("kjunh/GuideDog", split="silver") |
| ``` |
|
|
| ## Features |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `image` | Image | Egocentric street-view image | |
| | `gold_label` | string | Human-verified guidance text (gold split only) | |
| | `silver_label` | string | VLM-generated guidance text (silver split only) | |
| | `scene_location` | string | Location type (e.g., sidewalk, crosswalk) | |
| | `scene_description` | string | Description of the scene | |
| | `video_country` | string | Country where video was recorded | |
| | `video_city` | string | City where video was recorded | |
|
|
| ## Annotation Standards |
|
|
| Annotations follow the GuideDog S1/S2/S3 framework: |
| - **S1**: Scene description and user position context |
| - **S2**: Hazards at clock directions (10-2 o'clock) with distances |
| - **S3**: Summary and recommended navigation direction |
|
|
| ## Intended Use |
|
|
| - **Gold split**: Evaluation and benchmarking |
| - **Silver split**: Training vision-language models |
|
|
| ## 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: |
|
|
| ```bibtex |
| @misc{kim2025guidedogrealworldegocentricmultimodal, |
| title={GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance}, |
| author={Junhyeok Kim and Jaewoo Park and Junhee Park and Sangeyl Lee and Jiwan Chung and Jisung Kim and Ji Hoon Joung and Youngjae Yu}, |
| year={2025}, |
| eprint={2503.12844}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2503.12844}, |
| } |
| ``` |
|
|
| ## License |
|
|
| This dataset is licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). |
|
|
| ## Contact |
|
|
| For questions or issues, please contact the dataset maintainers through the HuggingFace discussion tab. |
|
|
