Automated Author ProfileOondwidjaja, Nicholas
Binus University
Oondwidjaja, Nicholas
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains annotated images of Indonesian vehicle license plates, intended for use in object detection tasks. The annotations are formatted for the YOLOv11 object detection model and were sourced from a public Roboflow project.The dataset was originally published under the title "anpr-model-1" by the Roboflow user "anpr", and was accessed via Roboflow Universe:🔗 https://universe.roboflow.com/anpr-n2dbe/anpr-model-1/dataset/1The dataset was not modified after download and retains its original folder structure and label format. It includes:images/ folder (training and validation images)labels/ folder (YOLOv11-compatible annotations)Class label: license-plateThis re-upload serves to preserve the dataset in a citable form with a DOI for academic use and reproducibility.License and Usage Notice:No license information was specified on the original source page. This dataset is shared for academic and research purposes only. Users should verify and respect the original dataset’s usage policies and obtain necessary permissions before any commercial or derivative use. The uploader does not claim new rights over the original data.Attribution:Please cite both this Zenodo upload and the original dataset by Roboflow user “anpr” if you use this data in your work.Disclaimer:The uploader is not responsible for any misuse, legal issues, or ethical concerns arising from the use of this dataset. Use it at your own discretion and responsibility.
Authors
- Oondwidjaja, Nicholas
This dataset contains annotated images of Indonesian vehicle license plates, intended for use in object detection tasks. The annotations are formatted for the YOLOv11 object detection model and were sourced from a public Roboflow project.The dataset was originally published under the title "anpr-model-1" by the Roboflow user "anpr", and was accessed via Roboflow Universe:🔗 https://universe.roboflow.com/anpr-n2dbe/anpr-model-1/dataset/1The dataset was not modified after download and retains its original folder structure and label format. It includes:images/ folder (training and validation images)labels/ folder (YOLOv11-compatible annotations)Class label: license-plateThis re-upload serves to preserve the dataset in a citable form with a DOI for academic use and reproducibility.License and Usage Notice:No license information was specified on the original source page. This dataset is shared for academic and research purposes only. Users should verify and respect the original dataset’s usage policies and obtain necessary permissions before any commercial or derivative use. The uploader does not claim new rights over the original data.Attribution:Please cite both this Zenodo upload and the original dataset by Roboflow user “anpr” if you use this data in your work.Disclaimer:The uploader is not responsible for any misuse, legal issues, or ethical concerns arising from the use of this dataset. Use it at your own discretion and responsibility.
Authors
- Oondwidjaja, Nicholas