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MLT 2017
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Results
Task 1 - Text Localization
Method: DCLNet
Samples
Task 1 - Text Localization - Method:
DCLNet
Method info
Samples list
Per sample details
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
21
66.67%
66.67%
100.00%
80.00%
22
18.07%
29.17%
58.33%
38.89%
23
50.00%
50.00%
100.00%
66.67%
24
12.50%
25.00%
50.00%
33.33%
25
83.33%
83.33%
100.00%
90.91%
26
100.00%
100.00%
27.27%
42.86%
27
75.00%
75.00%
37.50%
50.00%
28
60.65%
72.73%
72.73%
72.73%
29
69.91%
75.36%
89.66%
81.89%
30
100.00%
100.00%
100.00%
100.00%
31
53.61%
66.67%
80.00%
72.73%
32
74.35%
80.00%
80.00%
80.00%
33
76.91%
80.00%
85.71%
82.76%
34
28.77%
35.29%
60.00%
44.44%
35
100.00%
100.00%
100.00%
100.00%
36
85.71%
85.71%
100.00%
92.31%
37
100.00%
100.00%
100.00%
100.00%
38
25.00%
50.00%
50.00%
50.00%
39
50.00%
50.00%
42.86%
46.15%
40
69.05%
71.43%
83.33%
76.92%
Download full table (.csv)
Results
IoU - Global