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MLT 2019
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Results
Task 1 - Text Localization
Method: maskrcnn++ result
Samples
Task 1 - Text Localization - Method:
maskrcnn++ result
Method info
Samples list
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
21
25.00%
25.00%
25.00%
25.00%
22
65.08%
66.67%
66.67%
66.67%
23
50.00%
50.00%
75.00%
60.00%
24
100.00%
100.00%
75.00%
85.71%
25
83.33%
83.33%
90.91%
86.96%
26
22.22%
22.22%
33.33%
26.67%
27
57.51%
70.59%
70.59%
70.59%
28
59.56%
100.00%
60.00%
75.00%
29
66.67%
66.67%
85.71%
75.00%
30
25.88%
50.00%
54.55%
52.17%
31
100.00%
100.00%
100.00%
100.00%
32
100.00%
100.00%
100.00%
100.00%
33
58.23%
66.67%
66.67%
66.67%
34
85.71%
85.71%
100.00%
92.31%
35
100.00%
100.00%
75.00%
85.71%
36
85.41%
89.58%
91.49%
90.53%
37
100.00%
100.00%
66.67%
80.00%
38
100.00%
100.00%
100.00%
100.00%
39
100.00%
100.00%
100.00%
100.00%
40
100.00%
100.00%
83.33%
90.91%
Download full table (.csv)
Results
IoU - Global