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@@ -13,6 +13,9 @@ The model and its training code has been mainly taken from: [Tensorpack](https:/
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  Regarding the dataset, please check: [Xu Zhong et. all. - Image-based table recognition: data, model, and evaluation](https://arxiv.org/abs/1911.10683).
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  The code has been adapted so that it can be used in a **deep**doctection pipeline.
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  ## How this model can be used
 
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  Regarding the dataset, please check: [Xu Zhong et. all. - Image-based table recognition: data, model, and evaluation](https://arxiv.org/abs/1911.10683).
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+ The model has been trained on detecting rows and columns for tables. As rows and column bounding boxes are not a priori an element of the annotations they are
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+ calculated using the bounding boxes of the cells and the intrinsic structure of the enclosed HTML.
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  The code has been adapted so that it can be used in a **deep**doctection pipeline.
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  ## How this model can be used