Document Layout Analysis2020en

document-layout-recognition-challenge-test

Dataset from Papers With Code

Metrics:accuracy, cer, wer, f1

figure

#ModelScorePaper / CodeDate
1
fglihai
0.970
-
2
USYD NLP_CS29-2
0.960
-
3
Faster_RCNN
0.950
-

list

#ModelScorePaper / CodeDate
1
fglihai
0.900
-
2
USYD NLP_CS29-2
0.900
-
3
Faster_RCNN
0.890
-

overall

#ModelScorePaper / CodeDate
1
USYD NLP_CS29-2
0.920
-
2
fglihai
0.920
-
3
Faster_RCNN
0.910
-

table

#ModelScorePaper / CodeDate
1
USYD NLP_CS29-2
0.960
-
2
fglihai
0.960
-
3
Faster_RCNN
0.950
-

text

#ModelScorePaper / CodeDate
1
fglihai
0.930
-
2
USYD NLP_CS29-2
0.930
-
3
Faster_RCNN
0.920
-

title

#ModelScorePaper / CodeDate
1
USYD NLP_CS29-2
0.840
-
2
fglihai
0.840
-
3
Faster_RCNN
0.820
-

Other Document Layout Analysis Datasets

document-layout-recognition-challenge-test Benchmark - Document Layout Analysis | CodeSOTA