| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| pretty_name: "DRINF: Dhaka Road Intersection Nadir Footage" |
| task_categories: |
| - object-detection |
| - video-classification |
| tags: |
| - drone |
| - uav |
| - aerial-imagery |
| - traffic |
| - transportation |
| - intelligent-transportation-systems |
| - computer-vision |
| - vehicle-tracking |
| - trajectory-prediction |
| - surrogate-safety |
| - road-intersections |
| - nadir |
| - dhaka |
| - bangladesh |
| --- |
| |
| # DRINF: Dhaka Road Intersection Nadir Footage |
|
|
| ## Overview |
|
|
| **DRINF (Dhaka Road Intersection Nadir Footage)** is a large-scale drone-based traffic dataset containing nadir (top-down) videos of road intersections across **Dhaka, Bangladesh**. |
|
|
| The dataset is intended to support research in: |
|
|
| - Vehicle detection |
| - Multi-object tracking |
| - Traffic flow analysis |
| - Vehicle trajectory extraction |
| - Trajectory prediction |
| - Surrogate safety analysis |
| - Intelligent Transportation Systems (ITS) |
| - Computer vision |
| - Machine learning |
| - Autonomous driving research |
| - Urban traffic analytics |
|
|
| The videos are captured using a DJI drone under real-world traffic conditions. |
|
|
| --- |
|
|
| # Dataset Contents |
|
|
| The dataset currently contains: |
|
|
| - Drone videos |
| - Nadir-view footage |
| - Multiple road intersections |
| - Different traffic densities |
| - Different weather and lighting conditions (where available) |
|
|
| Future releases may include: |
|
|
| - Vehicle trajectories |
| - Detection annotations |
| - Tracking annotations |
| - Camera calibration |
| - Metadata |
| - Traffic statistics |
|
|
| --- |
|
|
| # Directory Structure |
|
|
| Example: |
|
|
| ``` |
| DRINF/ |
| │ |
| ├── Nadirs/ |
| │ ├── Polashi Bazaar/ |
| │ ├── Science Lab/ |
| │ ├── Nilkhet/ |
| │ └── ... |
| │ |
| ├── README.md |
| └── LICENSE |
| ``` |
|
|
| --- |
|
|
| # Data Collection |
|
|
| Platform: |
|
|
| - DJI Mini 2 |
|
|
| Viewpoint: |
|
|
| - Nadir (Top-down) |
|
|
| Environment: |
|
|
| - Urban road intersections |
| - Mixed traffic |
| - Real traffic conditions |
|
|
| Country: |
|
|
| - Bangladesh |
|
|
| City: |
|
|
| - Dhaka |
|
|
| --- |
|
|
| # Potential Research Applications |
|
|
| This dataset can be used for: |
|
|
| - Vehicle detection |
| - Vehicle counting |
| - Traffic density estimation |
| - Multi-object tracking |
| - Vehicle speed estimation |
| - Vehicle trajectory prediction |
| - Traffic simulation |
| - Traffic conflict analysis |
| - Surrogate Safety Measures (SSM) |
| - Accident risk estimation |
| - Deep learning |
| - Vision-Language Models |
| - Large Multimodal Models (LMMs) |
| - Geographic information systems |
| - Transportation engineering |
|
|
| --- |
|
|
| # License |
|
|
| This dataset is distributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. |
|
|
| You are free to: |
|
|
| - Share |
| - Copy |
| - Redistribute |
| - Adapt |
| - Remix |
| - Transform |
| - Build upon the material |
|
|
| for any purpose, including commercial use, |
|
|
| provided that appropriate attribution is given. |
|
|
| License: |
|
|
| https://creativecommons.org/licenses/by/4.0/ |
|
|
| --- |
|
|
| # Citation |
|
|
| If you use this dataset in your research, publications, reports, or software, please cite the dataset. |
|
|
| ## Dataset Citation |
|
|
| ```bibtex |
| @dataset{mahmud_drinf, |
| author = {Hamim Mahmud}, |
| title = {DRINF: Dhaka Road Intersection Nadir Footage}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/hamimmahmud0/DTINF}, |
| license = {CC BY 4.0} |
| } |
| ``` |
|
|
| Additionally, please cite any accompanying publication if one becomes available. |
|
|
| --- |
|
|
| # Citation Requirements |
|
|
| Users of this dataset must: |
|
|
| 1. Cite the dataset in any academic publication. |
| 2. Include the dataset name: |
| **DRINF: Dhaka Road Intersection Nadir Footage**. |
| 3. Provide the dataset URL whenever possible. |
| 4. State that the dataset is licensed under **CC BY 4.0**. |
|
|
| --- |
|
|
| # Ethical Considerations |
|
|
| - Videos were collected in public road environments. |
| - The dataset is intended solely for research, education, and scientific purposes. |
| - Users are responsible for complying with local laws and institutional ethics policies. |
| - Dataset maintainers are not responsible for misuse of the data. |
|
|
| --- |
|
|
| # Version |
|
|
| Current Version: |
|
|
| **v1.0** |
|
|
| Future versions may expand with: |
|
|
| - More intersections |
| - More cities |
| - Longer recordings |
| - Vehicle annotations |
| - Tracking labels |
| - Trajectory datasets |
| - Calibration parameters |
|
|
| --- |
|
|
| # Contact |
|
|
| For questions, suggestions, or collaborations, please open an issue on the dataset repository or contact the dataset maintainer through the Hugging Face profile. |
|
|
| --- |
|
|
| # Acknowledgements |
|
|
| Thanks to everyone who contributed to the collection, organization, and validation of the DRINF dataset. |
|
|
| We hope this dataset supports advances in transportation engineering, intelligent transportation systems, and computer vision research. |
|
|
