Datasets:
|
Download README.md from ALTHISM/Obstacle: direct link, hf CLI and curl.
- Browser
- Download file 2.38 kB
-
https://huggingface.co/datasets/ALTHISM/Obstacle/resolve/main/README.md
- Command line
-
hf download hf://datasets/ALTHISM/Obstacle/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/ALTHISM/Obstacle/resolve/main/README.md
2.38 kB
| 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} | |
| } | |
| ``` |