| --- |
| license: apache-2.0 |
| task_categories: |
| - feature-extraction |
| language: |
| - en |
| pretty_name: IBMR |
| size_categories: |
| - n<1K |
| tags: |
| - dataset |
| - point-cloud |
| - insulator |
| - defect |
| --- |
| |
| # IBMR Dataset: Insulator Burn Mark RGB-Point Cloud Dataset |
|
|
| ## Directory Structure |
| ```bash |
| IBMR/ |
| │ |
| ├── Sample 1/ |
| │ ├── sample-1.png |
| │ ├── sample-1.pcd |
| │ └── GT/ |
| │ ├── insulator-1.txt |
| │ └── burn_mark-1.txt |
| ├── Sample 2/ |
| │ ├── sample-2.png |
| │ ├── sample-2.pcd |
| │ └── GT/ |
| │ ├── insulator-2.txt |
| │ └── burn_mark-2.txt |
| └── ... |
| ``` |
|
|
| ## Citation |
| If you use this dataset, please cite our paper: |
|
|
| ```bibtex |
| @article{tang2025dimensional, |
| title={Dimensional Compensation for Small-Sample and Small-Size Insulator Burn Mark via RGB-Point Cloud Fusion in Power Grid Inspection}, |
| author={Tang, Junqiu and Yuan, Zhikang and Wei, Zixiang and Gao, Shuojie and Shen, Changyong}, |
| journal={Information Fusion}, |
| pages={104105}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
