Sample RankingRecallPrecisionHmean
HUST_MCLAB_VER1.0100.00%100.00%100.00%
HUST_MCLAB_VER2.0100.00%100.00%100.00%
HUST_MCLAB_VER.0100.00%100.00%100.00%
RRPN-3100.00%100.00%100.00%
MSRA_v1100.00%100.00%100.00%
CNN based model100.00%100.00%100.00%
RRPN-4100.00%100.00%100.00%
SRC-B-MachineLearningLab-v3100.00%100.00%100.00%
SCUT_DMPNet_pro100.00%100.00%100.00%
CCFLAB_v1100.00%100.00%100.00%
TextBoxes++100.00%100.00%100.00%
YY_tl_v1100.00%100.00%100.00%
Sogou_MM100.00%100.00%100.00%
Shape-Aware Arbitrary Text Detector100.00%100.00%100.00%
Megvii-EAST100.00%92.86%96.30%
DDR_v1100.00%92.86%96.30%
NJU_Text_Version592.31%100.00%96.00%
HUST MCLAB (VER3.0)92.31%100.00%96.00%
SCUT_DMPNet92.31%100.00%96.00%
SRC-B-MachineLearningLab-v292.31%100.00%96.00%
SenseTime V392.31%100.00%96.00%
q92.31%100.00%96.00%
HoText_v092.31%100.00%96.00%
HoText_v192.31%100.00%96.00%
PSENet_NJU_ImagineLab (single-scale)92.31%100.00%96.00%
Pixel-Anchor(Multiscale)92.31%100.00%96.00%
Alibaba-PAI V292.31%100.00%96.00%
another_segText92.31%100.00%96.00%
TextCatcher-2 (LRDE)100.00%86.67%92.86%
StradVision-192.31%92.31%92.31%
Stradvision-292.31%92.31%92.31%
CTPN92.31%92.31%92.31%
crpn92.31%92.31%92.31%
resNet-32r-3dp92.31%92.31%92.31%
NJU_Text_Version484.62%100.00%91.67%
hust_orientedText100.00%81.25%89.66%
SEG-PIXEL-PAN (single-scale)100.00%81.25%89.66%
knet092.31%85.71%88.89%
knet192.31%85.71%88.89%
DDR_v292.31%85.71%88.89%
TextFuseNet92.31%85.71%88.89%
Megvii-Image++84.62%91.67%88.00%
SRC-B-MachineLearningLab84.62%91.67%88.00%
SSTD84.62%91.67%88.00%
NLPR-CASIA84.62%91.67%88.00%
TsinghuaOCR84.62%91.67%88.00%
CCFLAB84.62%91.67%88.00%
Tencent-DPPR84.62%91.67%88.00%
dengdan_zju_cad84.62%91.67%88.00%
EAST reimplemention with resnet 5084.62%91.67%88.00%
MultDet84.62%91.67%88.00%
Dahua-OCR v184.62%91.67%88.00%
CCFLAB_FTSN84.62%91.67%88.00%
FTDN-SJTU84.62%91.67%88.00%
Dahua-OCR V384.62%91.67%88.00%
UCAS_CMVT384.62%91.67%88.00%
ICT84.62%91.67%88.00%
FTDN-SJTU-v284.62%91.67%88.00%
Huaibeicun TextDetector84.62%91.67%88.00%
HIK_OCR_V184.62%91.67%88.00%
Alibaba-PAI84.62%91.67%88.00%
HappyCCL84.62%91.67%88.00%
FOTS84.62%91.67%88.00%
Alibaba-PAI84.62%91.67%88.00%
east-modified84.62%91.67%88.00%
my_east_with_atrous84.62%91.67%88.00%
train twice84.62%91.67%88.00%
vm2484.62%91.67%88.00%
SPCNet_TongJi & UESTC (single scale)84.62%91.67%88.00%
BUPT ICYBEE84.62%91.67%88.00%
Pixel-Anchor(single scale)84.62%91.67%88.00%
rrpn ssprpns84.62%91.67%88.00%
R2CNN++ (single scale)84.62%91.67%88.00%
ArtDet84.62%91.67%88.00%
Lanm84.62%91.67%88.00%
stela84.62%91.67%88.00%
PyTorch re-implementation of EAST84.62%91.67%88.00%
CM-CV&AR84.62%91.67%88.00%
Eleme-AI84.62%91.67%88.00%
JDAI84.62%91.67%88.00%
MMLab-PolarMask++(Single Scale)84.62%91.67%88.00%
DAL84.62%91.67%88.00%
DCLNet84.62%91.67%88.00%
Drew84.62%91.67%88.00%
test84.62%91.67%88.00%
RRPN++ (single scale)92.31%80.00%85.71%
SCUT_DMP_v284.62%84.62%84.62%
Baidu IDL v384.62%84.62%84.62%
SegRPN84.62%84.62%84.62%
PixelLink84.62%84.62%84.62%
Baidu VIS 84.62%84.62%84.62%
Baidu VIS v284.62%84.62%84.62%
YY-tl_final84.62%84.62%84.62%
east improved84.62%84.62%84.62%
R-RetinaNet84.62%84.62%84.62%
CPN (multi-scale)84.62%84.62%84.62%
HUST_OrientedText100.00%72.22%83.87%
blank_net_v176.92%90.91%83.33%
ArtDet (single scale)76.92%90.91%83.33%
RESULTS76.92%90.91%83.33%
Huawei_GDE_AI76.92%90.91%83.33%
cvte_zju_v284.62%78.57%81.48%
DDR_v384.62%78.57%81.48%
DDR_v484.62%78.57%81.48%
ITN_VGG84.62%78.57%81.48%
CRAFT84.62%78.57%81.48%
EAST-VGG1684.62%78.57%81.48%
DAL(multi-scale)84.62%78.57%81.48%
AJOU76.92%83.33%80.00%
erTree_mxFlow_sigleDir76.92%83.33%80.00%
textDetection76.92%83.33%80.00%
NVTextSpotter100.00%65.00%78.79%
std++(single-scale)84.62%73.33%78.57%
Deep2Text-MO69.23%90.00%78.26%
CMVT_resNet69.23%90.00%78.26%
fast_ret_sh_0269.23%90.00%78.26%
Baidu IDL v284.62%68.75%75.86%
AFCTPN84.62%68.75%75.86%
CASIA_USTB-Cascaded69.23%81.82%75.00%
zju_cvte_seglink_51269.23%81.82%75.00%
zoomtext76.92%71.43%74.07%
TH84.62%64.71%73.33%
BJUT_FNIC69.23%69.23%69.23%
CNN Proposal Based MSER84.62%57.89%68.75%
exp184.62%55.00%66.67%
exp484.62%55.00%66.67%
exp384.62%52.38%64.71%
NJU_Text_Version153.85%77.78%63.64%
NJU_Text_Version253.85%77.78%63.64%
NJU Text (Version2)53.85%77.78%63.64%
rrpn example61.54%61.54%61.54%
textbox53.85%70.00%60.87%
YY-tl53.85%70.00%60.87%
Baidu IDL61.54%53.33%57.14%
TextFCN V246.15%66.67%54.55%
psenet30.77%36.36%33.33%
MCLAB_FCN15.38%66.67%25.00%
imagine7.69%33.33%12.50%
1117.69%16.67%10.53%
1237.69%14.29%10.00%
2015_test_result_2000_2200_0.87.69%12.50%9.52%
Tiny YOLO7.69%10.00%8.70%
TD-IMU0.00%0.00%0.00%
Full YOLO0.00%0.00%0.00%
1234560.00%0.00%0.00%
EPTN-SJTU
CV_OCR_NOOB(single-scale)