Toggle navigation
R.R.C.
Robust Reading Competition
Home
(current)
Challenges
MapText
2025
Comics Understanding
2025
Occluded RoadText
2024
MapText
2024
HR-Ciphers
2024
DocVQA
2020-23
ReST
2023
SVRD
2023
DSText
2023
DUDE 😎
2023
NewsVideoQA
2023
RoadText
2023
DocILE
2023
HierText
2022
Out of Vocabulary
2022
ST-VQA
2019
MLT
2019
LSVT
2019
ArT
2019
SROIE
2019
ReCTS
2019
COCO-Text
2017
DeTEXT
2017
DOST
2017
FSNS
2017
MLT
2017
IEHHR
2017
Incidental Scene Text
2015
Text in Videos
2013-2015
Focused Scene Text
2013-2015
Born-Digital Images (Web and Email)
2011-2015
Register
MLT 2017
Overview
Tasks
Downloads
Results
My Methods
Organizers
Home
MLT
Results
Task 3 - Joint text detection and script identification
Method: TH-DL
Samples
Task 3 - Joint text detection and script identification - Method:
TH-DL
Method info
Samples list
Per sample details
Page
of 450
next >
View
Thumbnails
Table
Sample
Results
Global
Average Precision
Hmean
Precision
Recall
1
66.67%
72.73%
80.00%
66.67%
2
14.88%
25.00%
50.00%
16.67%
3
0.00%
0.00%
0.00%
0.00%
4
0.00%
0.00%
0.00%
0.00%
5
33.33%
44.44%
66.67%
33.33%
6
66.67%
50.00%
40.00%
66.67%
7
25.00%
15.38%
11.11%
25.00%
8
43.94%
50.00%
55.56%
45.45%
9
6.22%
11.36%
26.32%
7.25%
10
0.00%
0.00%
0.00%
0.00%
11
16.67%
36.36%
40.00%
33.33%
12
52.33%
57.14%
54.55%
60.00%
13
30.21%
48.00%
60.00%
40.00%
14
1.18%
8.70%
16.67%
5.88%
15
100.00%
100.00%
100.00%
100.00%
16
19.40%
40.00%
66.67%
28.57%
17
12.50%
28.57%
33.33%
25.00%
18
50.00%
66.67%
100.00%
50.00%
19
50.00%
66.67%
100.00%
50.00%
20
71.43%
76.92%
83.33%
71.43%
Download full table (.csv)
Results
Global