| --- |
| paper: arxiv:2109.03794 |
| size_categories: |
| - n<1K |
| task_categories: |
| - object-detection |
| tags: |
| - image |
| --- |
| |
| # Digitize-PID (Symbols only), YOLO format |
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| **Note**: *I am not the author of this dataset* |
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| An annotated synthetic dataset, Dataset-P&ID, of 500 P&IDs with incorporates different |
| types of noise and complex symbols. This dataset contains only the symbols, i.e., under |
| the object detection task. |
|
|
| Paliwal, S., Jain, A., Sharma, M., & Vig, L. (2021). Digitize-PID: Automatic Digitization |
| of Piping and Instrumentation Diagrams. ArXiv, abs/2109.03794. |
|
|
| - **Original data repository**: https://drive.google.com/drive/u/1/folders/1gMm_YKBZtXB3qUKUpI-LF1HE_MgzwfeR |
| - **Paper:** https://arxiv.org/abs/2109.03794 |
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|
| ## Dataset Structure |
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|
| The dataset is split into `train` and `val` splits, with 4:1 ratio. |
| Bounding boxes are in YOLO format `[x_center, y_center, width, height]`, and labels are |
| 0-indexed corresponding to symbols defined in the paper, i.e., `0` is `1`. |
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|
