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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(using total 10000 images of mlt19)
Samples
Task 1 - Text Localization - Method:
A two-stage text detector based on cascade rcnn(using total 10000 images of mlt19)
Method info
Samples list
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
1
29.17%
50.00%
66.67%
57.14%
2
63.23%
66.67%
85.71%
75.00%
3
50.00%
50.00%
75.00%
60.00%
4
100.00%
100.00%
75.00%
85.71%
5
83.33%
83.33%
100.00%
90.91%
6
22.22%
22.22%
66.67%
33.33%
7
29.50%
58.82%
45.45%
51.28%
8
89.38%
91.67%
91.67%
91.67%
9
63.23%
66.67%
85.71%
75.00%
10
42.43%
50.00%
66.67%
57.14%
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%
100.00%
92.31%
15
100.00%
100.00%
100.00%
100.00%
16
65.98%
70.83%
82.93%
76.40%
17
50.00%
50.00%
100.00%
66.67%
18
100.00%
100.00%
100.00%
100.00%
19
87.50%
87.50%
70.00%
77.78%
20
100.00%
100.00%
100.00%
100.00%
Download full table (.csv)
Results
IoU - Global