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MLT 2019
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Results
Task 1 - Text Localization
Method: A two-stage text detector based on cascade rcnn
Samples
Task 1 - Text Localization - Method:
A two-stage text detector based on cascade rcnn
Method info
Samples list
Per sample details
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
1
25.00%
25.00%
50.00%
33.33%
2
63.23%
66.67%
85.71%
75.00%
3
66.67%
66.67%
100.00%
80.00%
4
100.00%
100.00%
60.00%
75.00%
5
66.67%
66.67%
88.89%
76.19%
6
28.89%
33.33%
60.00%
42.86%
7
40.15%
58.82%
50.00%
54.05%
8
85.62%
91.67%
68.75%
78.57%
9
65.08%
66.67%
85.71%
75.00%
10
57.29%
58.33%
70.00%
63.64%
11
100.00%
100.00%
100.00%
100.00%
12
100.00%
100.00%
100.00%
100.00%
13
88.89%
88.89%
100.00%
94.12%
14
85.71%
85.71%
85.71%
85.71%
15
100.00%
100.00%
75.00%
85.71%
16
58.14%
64.58%
83.78%
72.94%
17
0.00%
0.00%
0.00%
0.00%
18
100.00%
100.00%
100.00%
100.00%
19
87.50%
87.50%
77.78%
82.35%
20
100.00%
100.00%
100.00%
100.00%
Download full table (.csv)
Results
IoU - Global