Datasets:
| paper: arxiv:2109.03794 | |
| size_categories: | |
| - n<1K | |
| task_categories: | |
| - object-detection | |
| tags: | |
| - image | |
| # Digitize-PID (Symbols only) | |
| **Note**: *I am not the author of this dataset* | |
| 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 | |
| ## Dataset Structure | |
| The dataset is split into `train` and `val` splits, with 4:1 ratio. | |
| Bounding boxes are in `[x_min, y_min, x_max, y_max]` format, and labels correspond to | |
| symbols as defined in the paper. | |