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Text Detection on ICDAR 2015

94.1PrecisionCorner
86.388.32590.3592.375Jan 5, 2018Mar 15, 2019May 22, 2020Jul 30, 2021Oct 7, 2022Dec 15, 2023Feb 22, 2025

Evaluation results

MethodLinks
Corner2019.1194.170.780.7—3.6
UNITSModel=Fine-tuned2023.04949192.5——
BridgeSpotterFPS=6.72025.0293.887.590.5——
DEER2023.0493.786.289.8——
UNITS SharedModel=Unified2023.0493.690.592——
DeepSoloBackbone=Res-50, External Data=Synth150K+MLT17+IC13+Total-Text2023.0592.887.4—90—
Feng et al.2019.1292.583.8—87.9—
CRAFTSExternal Data=Synth800K+IC132023.0592.583.8—87.9—
DeepSoloBackbone=Res-50, External Data=Synth150K+MLT17+IC13+Total-Text+TextOCR2023.0592.587.2—89.8—
TextDragonFPS=2.62025.0292.583.887.9——
DeepSoloFPS=17.02025.0292.587.289.8——
DeepSoloBackbone=ViTAEv2-S, External Data=Synth150K+MLT17+IC13+Total-Text+TextOCR2023.0592.487.9—90.1—
DeepSolocode_source=open-source, FPS=17.02025.0292.488.890.6——
Text PerceptronMode=End-to-end, FPS=8.8, Irregular text support=false2020.0292.382.587.1——
TextPerceptronExternal Data=Synth800K2023.0592.382.5—87.1—
TextPerceptron2025.0292.382.587.1——
Orderless Box Discretization (OBD)Backbone=ResNext-1522019.1292.188.2—90.1—
He et al. [68]2019.129279.7—85.4—
Liu et al. [16]2019.1291.987.9—89.8—
FOTS MSmulti-scale=true2018.0191.8587.9289.84——
DBBackbone=ResNet-50, Input height=11522019.1191.883.287.3—12
DBextra training data=true2021.0491.883.287.3——
TextDragonExternal Data=Synth800K2023.0591.884.8—88.2—
PGNetFPS=38.22025.0291.884.888.2——
Qin et al.2019.1291.788—89.8—
OmniParser V2FPS=8.22025.0291.792.992.3——
Lyu et al. [69]2019.1291.681—86—
Mask TextSpotterFPS=4.8, Irregular text support=true2020.0291.68186——
Text PerceptronMode=2-stage, FPS=8.8, Irregular text support=false2020.0291.681.886.4——
EAST + VLPT-STDPre-training=Ours (VLPT-STD)2022.0491.585.488.3——
OmniParser V2 PTpre-training=PT, FPS=8.22025.0291.592.592——
OmniParser V2 SPTpre-training=SPT, FPS=8.22025.0291.592.992.2——
LOMO2019.1191.383.587.2——
Zhang et al.2019.1291.383.5—87.2—
LOMOextra training data=true2021.0491.383.587.2——
LOMO2021.0591.383.5—87.2—
Mask TS v3External Data=Synth800K+IC13+Total-Text+SCUT2023.0591.288.3—89.7—
CharNetFPS=5.42025.0291.288.389.7——
FOTS2018.019185.1787.99——
FOTSFPS=7.8, Irregular text support=false2020.029185.288——
UNITSFPS=3.12025.02919492.5——
Huang et al.2019.1290.881.5—85.9—
ATTR2021.0590.483.3—86.8—
ABCNet v22021.0590.486—88.1—
GNNets2022.0490.486.788.5——
ABCNet v22023.0490.48688.1——
GLASSExternal Data=Synth800K2023.0590.486—88.1—
ABCNet v2FPS=10.02025.0290.48688.1——
TESTR2023.0490.389.790——
TESTRExternal Data=Synth150K+MLT17+Total-Text2023.0590.389.7—90—
TESTRFPS=5.32025.0290.389.790——
OmniParserFPS=2.62025.0290.39190.7——
EAST + STKMPre-training=STKM2022.0490.284.687.3——
FCENetbackbone=ResNet50, DCN=true, extra training data=false2021.0490.182.686.2——
CRAFT2019.1189.884.386.9——
Baek et al.2019.1289.884.3—86.9—
CRAFTextra training data=true2021.0489.884.386.9——
CRAFT2021.0589.884.3—86.9—
CRAFT2022.0489.884.386.9——
PAN++External Data=Synth800K+COCO-Text+MLT17+Total-Text2023.0589.887.5—88.6—
Boundary2025.0289.887.588.6——
EAST + STPre-training=SynthText2022.0489.681.585.3——
Lyu et al. [35]2019.1289.579.7—84.3—
Liu et al. [12]2019.1289.483.8—86.5—
TextNetIrregular text support=true2020.0289.485.487.4——
Wang et al. [73]2019.1289.286—87.6—
CRAFTS2023.048985.387.1——
MANGOExternal Data=Synth800K+Synth150K+COCO-Text+MLT19+IC13+Total-Text2023.058985.3—87.1—
CRAFTSFPS=8.82025.028985.387.1——
Our Detectionmode=detection branch only2018.0188.8482.0485.31——
SPCNet2019.1188.785.887.2——
SPCNetexternal_data=true2019.0888.785.887.2——
Xie et al.2019.1288.785.8—87.2—
PSENet-1s2021.0588.785.5—87.1—
SPCNetIrregular text support=true2020.0288.785.887.2——
CCFLAB_FTSN2018.0188.6580.0784.14——
DRRGextra training data=true2021.0488.584.786.6——
DRRN2021.0588.584.7—86.6—
SAEInput height=9902019.1188.38586.6——
SAEmbedextra training data=true2021.0488.38586.6——
DBBackbone=ResNet-50, Input height=7362019.1188.282.785.4—26
DB2021.0588.282.7—85.4—
RRD+MSMulti-scale=true2018.03888083.8——
Baseline+MSMulti-scale=true2018.0387.878.582.8——
Zhong et al.2019.1287.880.1—83.8—
Liao et al. [14]2019.1287.878.5—82.9—
Textboxes++2021.0587.878.5—82.9—
ContourNetextra training data=false2021.0487.686.186.9——
CounterNet2021.0587.686.1—86.9—
TextBoxes++2019.1187.276.781.7—11.6
BaselineFPS=8.52018.0387.176.281.3——
He et al. [65]2019.128786—87—
He et al.Irregular text support=false2020.02878687——
PSENet-1s2019.1186.984.585.7—1.6
Wang et al. [37]2019.1286.984.5—85.7—
PSENetextra training data=true2021.0486.984.585.7——
PSENet-1sFPS=1.6, Irregular text support=true2020.0286.984.585.7——
GLASSFPS=2.72025.0286.984.585.7——
DBBackbone=ResNet-18, Input height=7362019.1186.878.482.3—48
Liu et al. [66]2019.1286.687.6—87.1—