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MLT 2019
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Results
Task 1 - Text Localization
Method: CPN (multi-scale)
Samples
Task 1 - Text Localization - Method:
CPN (multi-scale)
Method info
Samples list
Per sample details
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
1
12.50%
25.00%
33.33%
28.57%
2
65.08%
66.67%
85.71%
75.00%
3
50.00%
50.00%
75.00%
60.00%
4
100.00%
100.00%
100.00%
100.00%
5
91.67%
91.67%
100.00%
95.65%
6
33.83%
44.44%
44.44%
44.44%
7
61.34%
70.59%
52.17%
60.00%
8
97.64%
100.00%
80.00%
88.89%
9
66.67%
66.67%
85.71%
75.00%
10
57.74%
75.00%
69.23%
72.00%
11
100.00%
100.00%
100.00%
100.00%
12
100.00%
100.00%
100.00%
100.00%
13
87.65%
88.89%
88.89%
88.89%
14
100.00%
100.00%
100.00%
100.00%
15
100.00%
100.00%
100.00%
100.00%
16
71.60%
72.92%
94.59%
82.35%
17
50.00%
50.00%
50.00%
50.00%
18
100.00%
100.00%
100.00%
100.00%
19
100.00%
100.00%
88.89%
94.12%
20
100.00%
100.00%
100.00%
100.00%
Download full table (.csv)
Results
IoU - Global