Scene Text Detection2020en

icdar-2013

Dataset from Papers With Code

Metrics:accuracy, cer, wer, f1
Legacy BenchmarkLast significant update: Jan 2019

Legacy benchmark from 2013. For current OCR evaluation, use OCRBench, ICDAR 2019/2021, or DocVQA.

Current State of the Art

TrOCR-large 558M

Unknown

98.4

accuracy

accuracy Progress Over Time

Showing 3 breakthroughs from Jul 2015 to Sep 2021

85.589.092.596.199.6Jul 2015Aug 2018Sep 2021accuracyDate

Key Milestones

Jul 2015
CRNN

Lexicon-free. Table 2. TPAMI 2017.

86.7
Mar 2021
ABINet-LV

ABINet Language-Vision variant. CVPR 2021.

97.0
+11.9%
Sep 2021
TrOCR-large 558MCurrent SOTA

TrOCR-large, Syn+Benchmark training. Table 6. AAAI 2023.

98.4
+1.4%
Total Improvement
13.5%
Time Span
6y 3m
Breakthroughs
3
Current SOTA
98.4

Top Models Performance Comparison

Top 5 models ranked by accuracy

accuracy1TrOCR-large 558M98.4100.0%2TrOCR-base 334M98.4100.0%3PARSeq98.199.7%4ABINet-LV97.098.6%5CRNN86.788.1%0%25%50%75%100%% of best
Best Score
98.4
Top Model
TrOCR-large 558M
Models Compared
5
Score Range
11.7

accuracyPrimary

f-measure

#ModelScorePaper / CodeDate
1
TextFuseNet (ResNeXt-101)
94.61
TextFuseNet: Scene Text Detection with Richer Fused FeaturesCode
May 2020
2
SPCNET
92.1Nov 2018
3
Mask TextSpotter
91.7Jul 2018
4
WordSup (VGG16-synth-icdar)
90.34Aug 2017
5
STN-OCR
90.3Jul 2017
6
PixelLink+VGG16 2s MS
88.1Jan 2018
7
Corner Localization (multi-scale)
88Feb 2018
8
TextBoxes++_MS
88Jan 2018
9
Corner-based Region Proposals
87.6Apr 2018
10
SSTD
87Sep 2017
11
SegLink
85.3Mar 2017
12
Gupta et al.
83Apr 2016
13
USM (COCO TS + ICDAR–2013)
80.4
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image ClassificationCode
Sep 2019
14
Neumann et al. *
77.1Apr 2015
15
Jaderberg et al.
76.8Dec 2014

h-mean

#ModelScorePaper / CodeDate
1
CRAFT
95.2Apr 2019

precision

recall

Related Papers18

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