Sample RankingRecallPrecisionHmean
Baidu IDL v388.89%100.00%94.12%
Baidu VIS v288.89%100.00%94.12%
Baidu VIS v2+88.89%100.00%94.12%
e2e-mlt + bug fix88.89%88.89%88.89%
NVTextSpotter88.89%88.89%88.89%
Sensetime V177.78%100.00%87.50%
HoText_v177.78%100.00%87.50%
SRC-B-MachineLearningLab77.78%100.00%87.50%
Tencent Youtu77.78%100.00%87.50%
gts-swint-cocoonly-s4-3_177.78%100.00%87.50%
CPN (multi-scale)77.78%100.00%87.50%
Baidu VIS77.78%87.50%82.35%
Sogou_MM77.78%87.50%82.35%
Alibaba-PAI77.78%87.50%82.35%
Baidu IDL77.78%77.78%77.78%
FOTS77.78%77.78%77.78%
HUST_MCLAB55.56%100.00%71.43%
Smile55.56%100.00%71.43%
SRC-B-MachineLearningLab66.67%75.00%70.59%
DIY FOTS66.67%66.67%66.67%
e2e-mlt66.67%60.00%63.16%
Stradvision-244.44%66.67%53.33%
Yunos_Robot1.044.44%66.67%53.33%
Megvii-Image++55.56%50.00%52.63%
SRC-B-TextProcessingLab44.44%57.14%50.00%
M_FOTS_Orig55.56%45.45%50.00%
StradVision_v155.56%27.78%37.04%
TextProposals + DictNet22.22%50.00%30.77%
Baseline OpenCV3.0 + Tesseract11.11%100.00%20.00%
Deep2Text-MO11.11%12.50%11.76%
NJU Text (Version3)0.00%0.00%0.00%
Baseline-TextSpotter0.00%0.00%0.00%
Beam search CUNI +S (decoding for TextSpotter - no postprocessing)0.00%0.00%0.00%
Beam search CUNI (decoding for TextSpotter - spell checked)0.00%0.00%0.00%
Char-level PTSD on SynthText0.00%0.00%0.00%