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MLT 2017
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Task 3 - Joint text detection and script identification
Method: PMTD + CNN based method
Samples
Task 3 - Joint text detection and script identification - Method:
PMTD + CNN based method
Method info
Samples list
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Table
Sample
Results
Global
Average Precision
Hmean
Precision
Recall
1
83.33%
71.43%
62.50%
83.33%
2
43.12%
56.41%
73.33%
45.83%
3
0.00%
0.00%
0.00%
0.00%
4
75.00%
85.71%
100.00%
75.00%
5
66.67%
72.73%
80.00%
66.67%
6
66.67%
57.14%
50.00%
66.67%
7
50.00%
44.44%
40.00%
50.00%
8
89.17%
90.91%
90.91%
90.91%
9
76.88%
80.00%
81.82%
78.26%
10
50.00%
66.67%
100.00%
50.00%
11
27.78%
40.00%
50.00%
33.33%
12
52.33%
57.14%
54.55%
60.00%
13
35.42%
50.00%
53.85%
46.67%
14
22.81%
38.46%
55.56%
29.41%
15
100.00%
100.00%
100.00%
100.00%
16
85.71%
85.71%
85.71%
85.71%
17
37.50%
50.00%
50.00%
50.00%
18
0.00%
0.00%
0.00%
0.00%
19
100.00%
100.00%
100.00%
100.00%
20
71.43%
76.92%
83.33%
71.43%
Download full table (.csv)
Results
Global