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TATR-v1.1-Fin – AI Model by bsmock | AlphaNeural AI
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bsmock
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TATR-v1.1-Fin
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table structure recognition
table extraction
bsmock/FinTabNet.c
2303.00716
mit
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This repo contains the model weights for TATR (Table Transformer) v1.1 trained on the FinTabNet.c dataset, using the training details in the paper:
"Aligning benchmark datasets for table structure recognition"
.
These model weights are intended to be used with
the Microsoft implementation of Table Transformer (TATR)
.
This model works best on tightly cropped table images (5 pixels or less).
Model weights that can be loaded into the Hugging Face implementation of TATR are coming soon.
FinTabNet.c will be officially released soon. Please see
our GitHub repo
for a script to create FinTabNet.c from the
original FinTabNet dataset
.
Model Details
Model Description
Developed by:
Brandon Smock and Rohith Pesala, while at Microsoft
License:
MIT
Finetuned from model:
DETR ResNet-18
Model Sources
Please see the following for more details:
Repository:
"https://github.com/microsoft/table-transformer"
Paper:
"Aligning benchmark datasets for table structure recognition"
