CascadeTabNet VS deepdoctection

Compare CascadeTabNet vs deepdoctection and see what are their differences.

CascadeTabNet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents" (by DevashishPrasad)
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CascadeTabNet deepdoctection
1 8
1,397 2,209
- 6.2%
0.0 9.2
over 2 years ago 2 days ago
Python Python
MIT License Apache License 2.0
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CascadeTabNet

Posts with mentions or reviews of CascadeTabNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-23.
  • [D] Getting super-level table extraction
    3 projects | /r/MachineLearning | 23 Aug 2022
    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.

deepdoctection

Posts with mentions or reviews of deepdoctection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-07.

What are some alternatives?

When comparing CascadeTabNet and deepdoctection you can also consider the following projects:

table-transformer - Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

DocumentInformationExtraction - Key Information Extraction From Documents: Evaluation And Generator

donut - Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

Flowise - Drag & drop UI to build your customized LLM flow

Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

PentestGPT - A GPT-empowered penetration testing tool

bark - 🔊 Text-Prompted Generative Audio Model

Information-extraction-from-document - Graph Key Information Extraction: GKIE

JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

loopgpt - Modular Auto-GPT Framework