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# Line Graphics (LG) dataset
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This is the official page for the LG dataset
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By [Omar Moured](https://www.linkedin.com/in/omar-moured/) et al.
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## Dataset Summary
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## Category ID Reference
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```python
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```
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## Dataset structure (train,validation,test)
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- **
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- **image_name** - image name with PNG extension
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- **width** - original image width
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- **height** - original image height
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# Line Graphics (LG) dataset
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This is the official page for the LG dataset, as featured in our paper [Line Graphics Digitization: A Step Towards Full Automation](https://link.springer.com/chapter/10.1007/978-3-031-41734-4_27).
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By [Omar Moured](https://www.linkedin.com/in/omar-moured/) et al.
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## Dataset Summary
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The dataset includes instance segmentation masks for **400 real line chart images, manually labeled into 11 categories** by professionals.
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These images were collected from 5 different professions to enhance diversity. In our paper, we studied two levels of segmentation: **coarse-level**,
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where we segmented (spines, axis-labels, legend, lines, titles), and **fine-level**, where we further segmented each category into x and y subclasses
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(except for legend and lines), and individually segmented each line.
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## Category ID Reference
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```python
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}
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```
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## Dataset structure (train, validation, test)
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- **image** - contains the PIL image of the chart
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- **image_name** - image name with PNG extension
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- **width** - original image width
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- **height** - original image height
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