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  # Line Graphics (LG) dataset
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- This is the official page for the LG dataset for 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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-
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- The dataset features instance segmentation masks for **400 real line chart images manually labeled 11 categories** by professionals. Images are collected from 5 different prfessions to increase the richfullness.
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- In our paper we studedi two level of segmentations, **coarse-level** where we segment (spines, axis-labels, legend, lines, titles),
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- and **fine-level** where we have for each category an x and y subclasses (except legend and lines) and also each line is segmented seperatly.
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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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- - **images** - 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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  # 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