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MLT 2017
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Results
Task 1 - Text Localization
Method: GNNets (single scale)
Samples
Task 1 - Text Localization - Method:
GNNets (single scale)
Method info
Samples list
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
1
83.33%
83.33%
100.00%
90.91%
2
36.74%
37.50%
81.82%
51.43%
3
0.00%
0.00%
0.00%
0.00%
4
75.00%
75.00%
100.00%
85.71%
5
83.33%
83.33%
100.00%
90.91%
6
66.67%
66.67%
50.00%
57.14%
7
100.00%
100.00%
100.00%
100.00%
8
61.20%
63.64%
70.00%
66.67%
9
73.68%
73.91%
96.23%
83.61%
10
0.00%
0.00%
0.00%
0.00%
11
91.51%
100.00%
85.71%
92.31%
12
78.89%
80.00%
80.00%
80.00%
13
79.49%
80.00%
92.31%
85.71%
14
22.35%
23.53%
66.67%
34.78%
15
100.00%
100.00%
100.00%
100.00%
16
78.57%
78.57%
100.00%
88.00%
17
95.00%
100.00%
80.00%
88.89%
18
50.00%
50.00%
100.00%
66.67%
19
100.00%
100.00%
100.00%
100.00%
20
100.00%
100.00%
100.00%
100.00%
Download full table (.csv)
Results
IoU - Global