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Scene Text Recognition on IC13, IC15, IIIT, SVT, SVTP, CUTE80 Average (test)

97.42Average AccuracyCLIP4STR-L*
86.271289.165692.0694.9544May 27, 2022Jan 7, 2023Aug 20, 2023Apr 1, 2024Nov 12, 2024Jun 25, 2025Feb 6, 2026

Evaluation results

MethodLinks
CLIP4STR-L*Training data=REBU-Syn2023.1297.42——————
CLIP4STR-B*Training data=REBU-Syn2023.1297.25——————
CLIP4STR-LTraining data=Real2023.1297.06——————
CLIP4STR-BTraining data=Real2023.1296.89——————
SVTRv2Type=CTC, Training Data=U14M-Filter2026.0296.5798.79899.291.193.599
SVTRv2-ARType=AR, Training Data=U14M-Filter2026.0296.5698.697.3799.0390.5695.598.26
CPPDType=PD, Training Data=U14M-Filter2026.0296.498.297.89990.49499
PARSeqType=AR, Training Data=U14M-Filter2026.0296.498.498.198.990.194.398.6
MAERecType=AR, Training Data=U14M-Filter2026.0296.3698.297.899.290.494.398.3
MAERec-BTraining data=Union14M-L2023.1296.15——————
BUSNetType=PD, Training Data=U14M-Filter2026.0296.0697.898.198.390.295.396.5
ABINetTraining data=Real2023.1296.01——————
LPVType=PD, Training Data=U14M-Filter2026.0295.9398.197.898.689.893.697.6
SMTRType=AR, Training Data=U14M-Filter2026.0295.998.397.49990.192.797.9
ABINetType=PD, Training Data=U14M-Filter2026.0295.8397.798.198.590.194.196.5
OTEType=AR, Training Data=U14M-Filter2026.0295.749896.698.690.19497.2
MaskOCR (ViT-S)VP (Visual Pre-training)=true, LP (Language Pre-training)=true, AD (Annotated Data)=real, #Params=31M2022.0695.6——————
MaskOCR (ViT-B)VP (Visual Pre-training)=true, LP (Language Pre-training)=true, AD (Annotated Data)=real, #Params=97M2022.0695.6——————
PARSeqATraining data=Real, Reproduced=true2023.1295.57——————
MAERecType=AR, Training Data=UnionST-S2026.0295.5798.4896.9198.188.1395.9795.83
SVTRv2Type=CTC, Training Data=UnionST-S2026.0295.3598.695.9898.287.8594.2697.22
SVTRv2-ARType=AR, Training Data=UnionST-S2026.0295.3298.4895.9898.288.2994.1196.87
DiG (ViT-B)VP (Visual Pre-training)=true, LP (Language Pre-training)=false, AD (Annotated Data)=real, #Params=52M2022.0694.9——————
DiG-ViT-BTraining data=Real2023.1294.86——————
ViTSTR-STraining data=Real2023.1294.85——————
DiG (ViT-S)VP (Visual Pre-training)=true, LP (Language Pre-training)=false, AD (Annotated Data)=real, #Params=36M2022.0694.6——————
MAERec-SVP (Visual Pre-training)=true, LP (Language Pre-training)=false, AD (Annotated Data)=real, #Params=21M2022.0694.6——————
SVTRType=CTC, Training Data=U14M-Filter2026.0294.5897.397.19888.690.795.8
NRTR-CPPDEncoder=SVTR-Base, Input Size=32 x 100, Parameters=32.3M, FPS=31.12023.0794.598.696.697.688.891.993.4
SVTR-B-CPPDEncoder=SVTR-Base, Input Size=48 x 160, Parameters=26.8M, FPS=2062023.0794.197.595.597.787.792.493.7
ABINet-CPPDEncoder=SVTR-Base, Input Size=32 x 100, Parameters=38.9M, FPS=1412023.0794.019896.397.287.692.692.1
SVTR-B-CPPDEncoder=SVTR-Base, Input Size=32 x 100, Parameters=26.8M, FPS=2522023.0793.898.295.597.687.990.992.7
MaskOCRFT data=MJ+ST2022.0593.8——————
LPV-BEncoder=SVTR-Base, Input Size=48 x 160, Parameters=35.1M, FPS=1032023.0793.7897.694.697.387.590.994.8
MaskOCR(ViT-L)Training data=MJ+ST2023.1293.78——————
SMTRType=AR, Training Data=UnionST-S2026.0293.7497.7895.5297.6786.3691.0194.1
LPVType=PD, Training Data=UnionST-S2026.0293.7396.8595.9897.7786.4790.8594.44
PARSeq-CPPDEncoder=SVTR-Base, Input Size=32 x 100, Parameters=24.2M, FPS=98.22023.0793.7197.395.797.487.690.993.4
CPPDType=PD, Training Data=UnionST-S2026.0293.6696.8595.3697.1785.1591.9495.49
PARSeqType=AR, Training Data=UnionST-S2026.0293.5597.3294.7497.7785.6492.0993.75
OTEType=AR, Training Data=UnionST-S2026.0293.5597.3294.7497.7785.6492.0993.75
SVTR-B-NRTREncoder=SVTR-Base, Input Size=32 x 100, Parameters=32.2M, FPS=32.52023.0793.5497.795.497.488.590.791.7
BUSNetType=PD, Training Data=UnionST-S2026.0293.5296.6295.5297.285.7591.9494.1
SVTRType=CTC, Training Data=UnionST-S2026.0293.4697.7894.2897.585.6490.0895.49
DiG-ViT-BTraining data=MJ+ST2023.1293.41——————
DiG (ViT-B)VP (Visual Pre-training)=true, LP (Language Pre-training)=false, AD (Annotated Data)=synth, #Params=52M2022.0693.4——————
TrOCRLargeTraining data=MJ+ST+B2023.1293.23——————
MATRNTraining data=MJ+ST2023.1293.2——————
PARSeqATraining data=MJ+ST2023.1293.16——————
DiG (ViT-S)VP (Visual Pre-training)=true, LP (Language Pre-training)=false, AD (Annotated Data)=synth, #Params=36M2022.0693.1——————
MaskOCR (ViT-B)VP (Visual Pre-training)=true, LP (Language Pre-training)=true, AD (Annotated Data)=synth, #Params=97M2022.0693.1——————
MaskOCR(ViT-B)Training data=MJ+ST2023.1293.1——————
CTC-CPPDEncoder=SVTR-Base, Input Size=32 x 100, Parameters=24.6M, FPS=2122023.0793.0296.895.296.987.290.291.7
MaskOCR (ViT-S)VP (Visual Pre-training)=true, LP (Language Pre-training)=true, AD (Annotated Data)=synth, #Params=31M2022.0693——————
GITFT data=MJ+ST2022.0592.9——————
ABINetType=PD, Training Data=UnionST-S2026.0292.8196.9793.359785.0490.3994.1
ConCLRVP (Visual Pre-training)=false, LP (Language Pre-training)=true, AD (Annotated Data)=synth, #Params=37M2022.0692.8——————
MaskOCR (ViT-B)VP (Visual Pre-training)=false, LP (Language Pre-training)=false, AD (Annotated Data)=synth, #Params=97M2022.0692.7——————
ABINetVP (Visual Pre-training)=false, LP (Language Pre-training)=true, AD (Annotated Data)=synth, #Params=37M2022.0692.7——————
ABINetTraining data=MJ+ST2023.1292.66——————
CDistNetEncoder=ResNet+En, Input Size=32 x 128, Parameters=65.5M, FPS=14.52023.0792.5797.493.596.48688.793.4
SVTR-LEncoder=SVTR-Large, Input Size=48 x 160, Parameters=40.8M, FPS=1612023.0792.5497.291.796.386.688.495.1
PARSeqEncoder=ViT, Input Size=32 x 128, Parameters=23.8M, FPS=84.72023.0792.539793.69786.588.992.2
MaskOCR (ViT-S)VP (Visual Pre-training)=false, LP (Language Pre-training)=false, AD (Annotated Data)=synth, #Params=31M2022.0692.5——————
PerSecVP (Visual Pre-training)=true, LP (Language Pre-training)=false, AD (Annotated Data)=synth2022.0692.4——————
SVTR-T-CPPDEncoder=SVTR-Tiny, Input Size=32 x 100, Parameters=8.29M, FPS=3992023.0792.2597.194.496.686.688.590.3
ViT-CTCType=CTC, Training Data=U14M-Filter2026.0292.195.4594.1397.286.0387.7592.01
ABINetEncoder=ResNet+En, Input Size=32 x 128, Parameters=36.7M, FPS=1242023.0791.9397.493.596.28689.389.2
GTREncoder=ResNet, Input Size=64 x 256, Parameters=42.1M2023.0791.9296.894.195.884.687.992.3
SVTR-BEncoder=SVTR-Base, Input Size=48 x 160, Parameters=24.6M, FPS=2122023.0791.997.191.59685.289.991.7
ABINetFT data=MJ+ST2022.0591.9——————
S-GTRFT data=MJ+ST2022.0591.9——————
ViT-CTCType=CTC, Training Data=UnionST-S2026.0291.8897.293.3596.3383.4988.2292.71
SVTR-T-NRTREncoder=SVTR-Tiny, Input Size=32 x 100, Parameters=8.56M, FPS=45.52023.0791.4997.393.49585.588.289.6
PETRTraining data=MJ+ST2023.1291.42——————
VisionLANTraining data=MJ+ST2023.1291.23——————
VisionLanVP (Visual Pre-training)=false, LP (Language Pre-training)=false, AD (Annotated Data)=synth, #Params=33M2022.0691.2——————
TextScannerTraining data=MJ+ST2023.1291.15——————
PIMNetVP (Visual Pre-training)=false, LP (Language Pre-training)=false, AD (Annotated Data)=synth2022.0690.5——————
SRNTraining data=MJ+ST2023.1290.42——————
SRNVP (Visual Pre-training)=false, LP (Language Pre-training)=false, AD (Annotated Data)=synth, #Params=55M2022.0690.4——————
TrOCRVP (Visual Pre-training)=true, LP (Language Pre-training)=true, AD (Annotated Data)=synth, #Params=558M2022.0690.3——————
VisionLANEncoder=ResNet+En, Input Size=64 x 256, Parameters=32.8M, FPS=2002023.0790.2395.791.795.883.78688.5
CRNNType=CTC, Training Data=U14M-Filter2026.0290.2194.691.895.884.983.191
I2C2WVP (Visual Pre-training)=false, LP (Language Pre-training)=false, AD (Annotated Data)=synth2022.0690.2——————
TRBATraining data=MJ+ST2023.1290.07——————
I2C2WEncoder=ResNet+En, Input Size=64 x 6002023.07909591.794.382.883.193.1
SVTR-TEncoder=SVTR-Tiny, Input Size=32 x 100, Parameters=6.03M, FPS=4082023.0789.9996.391.694.484.185.488.2
GITFT data=TextCaps2022.0589.9——————
ABINetVP (Visual Pre-training)=false, LP (Language Pre-training)=false, AD (Annotated Data)=synth, #Params=24M2022.0689.8——————
NRTR-reEncoder=CNN+En, Input Size=32 x 100, Parameters=31.7M, FPS=33.22023.0789.6296.691.89383.486.886.1
SRNFT data=MJ+ST2022.0589.6——————
SRNEncoder=ResNet+FPN, Input Size=64 x 256, Parameters=54.7M, FPS=39.42023.0789.5795.591.594.882.785.187.8
SE-ASTERTraining data=MJ+ST2023.1288.35——————
SEEDVP (Visual Pre-training)=false, LP (Language Pre-training)=true, AD (Annotated Data)=synth2022.0688.3——————
SAMFT data=MJ+ST2022.0587.8——————
RobustScannerEncoder=ResNet, Input Size=48 x 160, Parameters=48.0M, FPS=16.42023.0787.5294.888.195.377.179.590.3
Ro.ScannerFT data=MJ+ST2022.0587.5——————
NRTREncoder=CNN+En, Input Size=32 x 100, Parameters=31.7M, FPS=33.22023.0787.3895.891.590.179.486.680.9
ASTERVP (Visual Pre-training)=false, LP (Language Pre-training)=false, AD (Annotated Data)=synth2022.0686.7——————