Obstacle / README.md
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---
size_categories:
- 1K<n<10K
license: cc-by-nc-4.0
task_categories:
- object-detection
language:
- en
tags:
- object-detection
- computer-vision
- yolov8
- assistive-navigation
pretty_name: Obstacle Detection Dataset
---
# Blind Navigation Obstacle Detection Dataset
## Introduction
This dataset is designed for obstacle detection tasks in visually impaired navigation scenarios.
The dataset is annotated in YOLO format and can be used for real-time object detection research on mobile or embedded devices. It is mainly intended for lightweight YOLO-based models such as YOLOv8.
---
## Dataset Features
- YOLO format annotations
- Designed for obstacle detection in blind navigation
- Lightweight and mobile-friendly
- Suitable for real-time inference tasks
- Supports Android deployment experiments
---
## Classes
| ID | Class Name |
|----|-------------|
| 0 | Bicycle |
| 1 | Bus |
| 2 | Car |
| 3 | Dog |
| 4 | Electric pole |
| 5 | Motorcycle |
| 6 | Person |
| 7 | Traffic signs |
| 8 | Tree |
| 9 | Uncovered manhole |
---
## Dataset Structure
```text
dataset/
├── images/
│ ├── train/
│ ├── val/
│ └── test/
├── labels/
│ ├── train/
│ ├── val/
│ └── test/
└── data.yaml
```
---
## Annotation Format
The dataset uses YOLO annotation format:
```text
class_id x_center y_center width height
```
All coordinates are normalized to the image size.
---
## Usage
Example training command using YOLOv8:
```bash
yolo detect train data=data.yaml model=yolov8n.pt epochs=100 imgsz=640
```
---
## Applications
This dataset can be used for:
- Blind navigation assistance
- Mobile object detection
- Embedded AI systems
- Real-time obstacle avoidance
- Computer vision education and research
---
## License
This dataset is released for academic and non-commercial research purposes only.
Commercial use is prohibited.
Redistribution without permission is prohibited.
---
## Access Request
This dataset uses gated access.
Users must request access before downloading the dataset.
Please briefly describe your research purpose when submitting an access request.
---
## Citation
If you use this dataset in your research, please cite:
```bibtex
@dataset{blind_navigation_dataset,
title={Blind Navigation Obstacle Detection Dataset},
author={ALTHISM},
year={2026}
}
```