| --- |
| license: mit |
| task_categories: |
| - image-segmentation |
| - object-detection |
| tags: |
| - P&ID |
| - lines |
| - pipelines |
| - engineering |
| - diagrams |
| - line-detection |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # P&ID Line Detection Dataset |
|
|
| This dataset contains cropped images from P&ID (Piping and Instrumentation Diagrams) |
| with line segment annotations for line detection and segmentation tasks. |
|
|
| ## Dataset Description |
|
|
| - **Total source images:** 500 |
| - **Total cropped samples:** 10000 |
| - **Total line segments:** 44754 |
| - **Crops per image:** 20 |
| - **Image sizes:** Various sizes under 1000px (e.g., 300x500, 512x768, 900x900) |
|
|
| ## Dataset Structure |
|
|
| Each sample contains: |
| - `file_name`: Image filename |
| - `source_image_idx`: Index of the original P&ID image |
| - `crop_idx`: Index of this crop from the source image |
| - `width`: Crop width in pixels |
| - `height`: Crop height in pixels |
| - `lines`: Dictionary with: |
| - `segments`: List of line segments as [x1, y1, x2, y2] (start and end points) |
| - `line_types`: List of line types ("solid" or "dashed") |
| - `pipelines`: List of pipeline names for each line |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the dataset |
| dataset = load_dataset("imagefolder", data_dir="path/to/lines_dataset") |
| |
| # Access a sample |
| sample = dataset["train"][0] |
| image = sample["image"] |
| lines = sample["lines"] |
| segments = lines["segments"] # [[x1, y1, x2, y2], ...] |
| line_types = lines["line_types"] # ["solid", "dashed", ...] |
| pipelines = lines["pipelines"] # ["5\"-EK-2648", ...] |
| |
| # Draw lines on image |
| from PIL import ImageDraw |
| draw = ImageDraw.Draw(image) |
| for seg in segments: |
| x1, y1, x2, y2 = seg |
| draw.line([(x1, y1), (x2, y2)], fill="blue", width=3) |
| image.show() |
| ``` |
|
|
| ## Line Segment Format |
|
|
| Each line segment is represented as `[x1, y1, x2, y2]` where: |
| - `(x1, y1)` is the start point |
| - `(x2, y2)` is the end point |
| - Coordinates are in pixels, relative to the cropped image |
| - Only lines where **both endpoints** are fully inside the crop are included |
|
|
| ## Line Types |
|
|
| - `solid`: Continuous pipeline lines |
| - `dashed`: Dashed lines (often representing signal/instrument lines) |
|
|
| ## License |
|
|
| MIT License |
|
|
