Multi-Type-TD-TSR
100DaysOfML
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Multi-Type-TD-TSR | 100DaysOfML | |
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4 | 2 | |
236 | 120 | |
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0.0 | 0.0 | |
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MIT License | GNU General Public License v3.0 only |
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Multi-Type-TD-TSR
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[D] Getting super-level table extraction
Recently, I've been researching extracting tables from image documents. First I tried with pdfs, however, the data extraction libraries like camelot are inconsistent. I found a deep learning model called CascadeTabNet. The detection results are okay but cell recognition is poor. I even found Multi-Type-TD-TSR for table extraction. It uses image processing techniques to find the grids. It performs well on structured and bordered tables. However, it messes up if the cell is not properly aligned. Even if extraction is successful, aggregation of multi-line cells, i.e post-processing, is not very obvious.
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What are some alternatives?
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