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MLT 2019
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Results
Task 1 - Text Localization
Method: Unicamp-SRBR-MLT2019-FUSION-PSENET-PELEETEXT
Samples
Task 1 - Text Localization - Method:
Unicamp-SRBR-MLT2019-FUSION-PSENET-PELEETEXT
Method info
Samples list
Per sample details
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
61
12.50%
25.00%
33.33%
28.57%
62
52.18%
66.67%
46.15%
54.55%
63
66.67%
66.67%
100.00%
80.00%
64
100.00%
100.00%
75.00%
85.71%
65
20.14%
25.00%
60.00%
35.29%
66
22.22%
22.22%
33.33%
26.67%
67
24.21%
47.06%
57.14%
51.61%
68
77.72%
91.67%
73.33%
81.48%
69
66.67%
66.67%
75.00%
70.59%
70
41.32%
66.67%
66.67%
66.67%
71
100.00%
100.00%
66.67%
80.00%
72
100.00%
100.00%
100.00%
100.00%
73
79.57%
88.89%
72.73%
80.00%
74
85.71%
85.71%
100.00%
92.31%
75
100.00%
100.00%
60.00%
75.00%
76
65.07%
72.92%
77.78%
75.27%
77
0.00%
0.00%
0.00%
0.00%
78
100.00%
100.00%
100.00%
100.00%
79
94.72%
100.00%
80.00%
88.89%
80
100.00%
100.00%
100.00%
100.00%
Download full table (.csv)
Results
IoU - Global