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MLT 2019
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Results
Task 1 - Text Localization
Method: DeepSolo++ (ResNet-50)
Samples
Task 1 - Text Localization - Method:
DeepSolo++ (ResNet-50)
Method info
Samples list
Per sample details
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
1
0.00%
0.00%
0.00%
0.00%
2
59.81%
66.67%
75.00%
70.59%
3
50.00%
50.00%
75.00%
60.00%
4
100.00%
100.00%
100.00%
100.00%
5
74.17%
75.00%
90.00%
81.82%
6
27.78%
33.33%
50.00%
40.00%
7
76.47%
76.47%
100.00%
86.67%
8
97.07%
100.00%
70.59%
82.76%
9
66.67%
66.67%
85.71%
75.00%
10
46.67%
50.00%
60.00%
54.55%
11
100.00%
100.00%
100.00%
100.00%
12
100.00%
100.00%
100.00%
100.00%
13
72.95%
77.78%
70.00%
73.68%
14
85.71%
85.71%
100.00%
92.31%
15
100.00%
100.00%
100.00%
100.00%
16
62.41%
64.58%
91.18%
75.61%
17
0.00%
0.00%
0.00%
0.00%
18
100.00%
100.00%
100.00%
100.00%
19
85.94%
87.50%
77.78%
82.35%
20
100.00%
100.00%
100.00%
100.00%
Download full table (.csv)
Results
IoU - Global