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SegOCR
Abstract
Just a simple Seg-based baseline for text recognition tasks.
Dataset
Train Dataset
trainset | instance_num | repeat_num | source |
---|---|---|---|
SynthText | 7266686 | 1 | synth |
Test Dataset
testset | instance_num | type |
---|---|---|
IIIT5K | 3000 | regular |
SVT | 647 | regular |
IC13 | 1015 | regular |
CT80 | 288 | irregular |
Results and Models
Backbone | Neck | Head | Regular Text | Irregular Text | download | ||||
---|---|---|---|---|---|---|---|---|---|
IIIT5K | SVT | IC13 | CT80 | ||||||
R31-1/16 | FPNOCR | 1x | 90.9 | 81.8 | 90.7 | 80.9 | model | log |
:::{note}
R31-1/16
means the size (both height and width ) of feature from backbone is 1/16 of input image.1x
means the size (both height and width) of feature from head is the same with input image. :::
Citation
@unpublished{key,
title={SegOCR Simple Baseline.},
author={},
note={Unpublished Manuscript},
year={2021}
}