Sample RankingRecallPrecisionHmean
e2e-mlt100.00%92.86%96.30%
SRC-B-TextProcessingLab92.31%100.00%96.00%
SRC-B-MachineLearningLab92.31%100.00%96.00%
HoText_v192.31%100.00%96.00%
Sogou_MM92.31%92.31%92.31%
Yunos_Robot1.084.62%100.00%91.67%
e2e-mlt + bug fix84.62%100.00%91.67%
Alibaba-PAI84.62%91.67%88.00%
Baidu IDL v376.92%100.00%86.96%
Sensetime V176.92%100.00%86.96%
FOTS76.92%100.00%86.96%
Beam search CUNI +S (decoding for TextSpotter - no postprocessing)76.92%90.91%83.33%
Baidu VIS76.92%90.91%83.33%
SRC-B-MachineLearningLab76.92%90.91%83.33%
Baidu VIS v276.92%90.91%83.33%
Megvii-Image++76.92%83.33%80.00%
Baidu VIS v2+76.92%83.33%80.00%
NVTextSpotter100.00%65.00%78.79%
TextProposals + DictNet76.92%76.92%76.92%
Tencent Youtu76.92%76.92%76.92%
CPN (multi-scale)76.92%76.92%76.92%
M_FOTS_Orig69.23%69.23%69.23%
Baidu IDL76.92%55.56%64.52%
gts-swint-cocoonly-s4-3_169.23%52.94%60.00%
Baseline OpenCV3.0 + Tesseract38.46%71.43%50.00%
Char-level PTSD on SynthText53.85%41.18%46.67%
Deep2Text-MO15.38%20.00%17.39%
Beam search CUNI (decoding for TextSpotter - spell checked)7.69%100.00%14.29%
Baseline-TextSpotter0.00%0.00%0.00%