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MLT 2017
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Results
Task 1 - Text Localization
Method: Amap-CVLab
Samples
Task 1 - Text Localization - Method:
Amap-CVLab
Method info
Samples list
Per sample details
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
21
66.67%
66.67%
100.00%
80.00%
22
44.47%
50.00%
80.00%
61.54%
23
0.00%
0.00%
0.00%
0.00%
24
75.00%
75.00%
100.00%
85.71%
25
63.33%
66.67%
66.67%
66.67%
26
100.00%
100.00%
100.00%
100.00%
27
91.67%
100.00%
66.67%
80.00%
28
47.64%
54.55%
85.71%
66.67%
29
74.69%
75.36%
94.55%
83.87%
30
50.00%
50.00%
100.00%
66.67%
31
41.47%
66.67%
57.14%
61.54%
32
86.64%
90.00%
81.82%
85.71%
33
63.06%
73.33%
61.11%
66.67%
34
16.55%
29.41%
62.50%
40.00%
35
100.00%
100.00%
100.00%
100.00%
36
85.71%
85.71%
92.31%
88.89%
37
75.00%
75.00%
100.00%
85.71%
38
50.00%
50.00%
33.33%
40.00%
39
66.67%
66.67%
100.00%
80.00%
40
66.19%
71.43%
83.33%
76.92%
Download full table (.csv)
Results
IoU - Global