Sample RankingRecallPrecisionHmean
SCUT_DMPNet_pro100.00%100.00%100.00%
StradVision-1100.00%92.86%96.30%
ITN_VGG92.31%100.00%96.00%
my_east_with_atrous92.31%100.00%96.00%
Sogou_MM92.31%100.00%96.00%
DAL92.31%100.00%96.00%
DAL(multi-scale)92.31%100.00%96.00%
DDR_v192.31%92.31%92.31%
SegRPN84.62%100.00%91.67%
SenseTime V384.62%100.00%91.67%
DDR_v284.62%100.00%91.67%
FOTS84.62%100.00%91.67%
vm2484.62%100.00%91.67%
Shape-Aware Arbitrary Text Detector84.62%100.00%91.67%
TextFuseNet84.62%91.67%88.00%
Huawei_GDE_AI84.62%91.67%88.00%
EAST reimplemention with resnet 5076.92%100.00%86.96%
DDR_v476.92%100.00%86.96%
ICT76.92%100.00%86.96%
blank_net_v176.92%100.00%86.96%
Huaibeicun TextDetector76.92%100.00%86.96%
HIK_OCR_V176.92%100.00%86.96%
HoText_v076.92%100.00%86.96%
train twice76.92%100.00%86.96%
fast_ret_sh_0276.92%100.00%86.96%
SCUT_DMP_v276.92%90.91%83.33%
DDR_v376.92%90.91%83.33%
q76.92%90.91%83.33%
PSENet_NJU_ImagineLab (single-scale)76.92%90.91%83.33%
Baidu VIS v276.92%90.91%83.33%
Alibaba-PAI V276.92%90.91%83.33%
Eleme-AI76.92%90.91%83.33%
JDAI76.92%90.91%83.33%
Megvii-EAST69.23%100.00%81.82%
dengdan_zju_cad69.23%100.00%81.82%
MultDet69.23%100.00%81.82%
Dahua-OCR v169.23%100.00%81.82%
Dahua-OCR V369.23%100.00%81.82%
FTDN-SJTU-v269.23%100.00%81.82%
YY_tl_v169.23%100.00%81.82%
PyTorch re-implementation of EAST69.23%100.00%81.82%
DCLNet69.23%100.00%81.82%
textDetection76.92%83.33%80.00%
YY-tl76.92%83.33%80.00%
RESULTS76.92%83.33%80.00%
CCFLAB_v169.23%90.00%78.26%
TextBoxes++69.23%90.00%78.26%
CCFLAB_FTSN69.23%90.00%78.26%
Alibaba-PAI69.23%90.00%78.26%
Alibaba-PAI69.23%90.00%78.26%
east-modified69.23%90.00%78.26%
SPCNet_TongJi & UESTC (single scale)69.23%90.00%78.26%
SEG-PIXEL-PAN (single-scale)69.23%90.00%78.26%
R-RetinaNet69.23%90.00%78.26%
Drew69.23%90.00%78.26%
test69.23%90.00%78.26%
HappyCCL76.92%76.92%76.92%
YY-tl_final76.92%76.92%76.92%
MSRA_v161.54%100.00%76.19%
TsinghuaOCR61.54%100.00%76.19%
FTDN-SJTU61.54%100.00%76.19%
HoText_v161.54%100.00%76.19%
SRC-B-MachineLearningLab69.23%81.82%75.00%
NLPR-CASIA69.23%81.82%75.00%
NVTextSpotter69.23%81.82%75.00%
SRC-B-MachineLearningLab-v361.54%88.89%72.73%
CCFLAB61.54%88.89%72.73%
east improved61.54%88.89%72.73%
TextCatcher-2 (LRDE)69.23%75.00%72.00%
rrpn example69.23%75.00%72.00%
CASIA_USTB-Cascaded76.92%66.67%71.43%
SSTD53.85%100.00%70.00%
Tencent-DPPR53.85%100.00%70.00%
SCUT_DMPNet61.54%80.00%69.57%
CNN based model61.54%80.00%69.57%
Pixel-Anchor(Multiscale)61.54%80.00%69.57%
ArtDet61.54%80.00%69.57%
another_segText61.54%80.00%69.57%
cvte_zju_v269.23%69.23%69.23%
HUST MCLAB (VER3.0)53.85%87.50%66.67%
Stradvision-253.85%87.50%66.67%
HUST_OrientedText53.85%87.50%66.67%
Baidu IDL v353.85%87.50%66.67%
PixelLink69.23%64.29%66.67%
resNet-32r-3dp61.54%72.73%66.67%
BUPT ICYBEE53.85%87.50%66.67%
CRAFT53.85%87.50%66.67%
EAST-VGG1653.85%87.50%66.67%
std++(single-scale)53.85%87.50%66.67%
RRPN++ (single scale)53.85%87.50%66.67%
CM-CV&AR61.54%66.67%64.00%
Deep2Text-MO53.85%77.78%63.64%
Pixel-Anchor(single scale)53.85%77.78%63.64%
rrpn ssprpns53.85%77.78%63.64%
zoomtext53.85%77.78%63.64%
stela46.15%100.00%63.16%
knet053.85%70.00%60.87%
NJU_Text_Version246.15%85.71%60.00%
NJU_Text_Version546.15%85.71%60.00%
CTPN46.15%85.71%60.00%
crpn46.15%85.71%60.00%
erTree_mxFlow_sigleDir46.15%85.71%60.00%
Baidu IDL46.15%75.00%57.14%
Baidu IDL v246.15%75.00%57.14%
hust_orientedText46.15%75.00%57.14%
exp146.15%75.00%57.14%
knet153.85%58.33%56.00%
RRPN-446.15%66.67%54.55%
BJUT_FNIC46.15%66.67%54.55%
ArtDet (single scale)46.15%66.67%54.55%
NJU Text (Version2)38.46%83.33%52.63%
NJU_Text_Version438.46%83.33%52.63%
textbox38.46%83.33%52.63%
Baidu VIS 38.46%83.33%52.63%
Lanm38.46%83.33%52.63%
AFCTPN38.46%83.33%52.63%
TH38.46%83.33%52.63%
exp438.46%83.33%52.63%
zju_cvte_seglink_51246.15%60.00%52.17%
SRC-B-MachineLearningLab-v246.15%54.55%50.00%
UCAS_CMVT338.46%71.43%50.00%
R2CNN++ (single scale)38.46%71.43%50.00%
MMLab-PolarMask++(Single Scale)38.46%71.43%50.00%
NJU_Text_Version138.46%62.50%47.62%
CMVT_resNet38.46%62.50%47.62%
HUST_MCLAB_VER2.030.77%100.00%47.06%
HUST_MCLAB_VER.030.77%100.00%47.06%
Full YOLO38.46%55.56%45.45%
Megvii-Image++30.77%80.00%44.44%
TextFCN V238.46%50.00%43.48%
HUST_MCLAB_VER1.046.15%40.00%42.86%
exp330.77%66.67%42.11%
AJOU30.77%57.14%40.00%
MCLAB_FCN23.08%75.00%35.29%
CNN Proposal Based MSER30.77%30.77%30.77%
RRPN-323.08%42.86%30.00%
psenet23.08%37.50%28.57%
Tiny YOLO23.08%33.33%27.27%
imagine15.38%40.00%22.22%
11115.38%28.57%20.00%
12315.38%28.57%20.00%
2015_test_result_2000_2200_0.815.38%28.57%20.00%
TD-IMU7.69%50.00%13.33%
1234560.00%0.00%0.00%
EPTN-SJTU
CV_OCR_NOOB(single-scale)