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 2019
Overview
Tasks
Downloads
Results
My Methods
Organizers
Home
MLT
Results
Task 3 - Joint text detection and script identification
Method: DeepSolo++ (ResNet-50)
Samples
Task 3 - Joint text detection and script identification - Method:
DeepSolo++ (ResNet-50)
Method info
Samples list
Per sample details
Page
of 488
next >
View
Thumbnails
Table
Sample
Results
Global
Average Precision
Hmean
Precision
Recall
1
0.00%
0.00%
0.00%
0.00%
2
59.81%
70.59%
75.00%
66.67%
3
50.00%
60.00%
75.00%
50.00%
4
100.00%
100.00%
100.00%
100.00%
5
74.17%
81.82%
90.00%
75.00%
6
27.78%
40.00%
50.00%
33.33%
7
76.47%
86.67%
100.00%
76.47%
8
97.07%
82.76%
70.59%
100.00%
9
66.67%
75.00%
85.71%
66.67%
10
46.67%
54.55%
60.00%
50.00%
11
100.00%
100.00%
100.00%
100.00%
12
100.00%
100.00%
100.00%
100.00%
13
72.95%
73.68%
70.00%
77.78%
14
85.71%
92.31%
100.00%
85.71%
15
100.00%
100.00%
100.00%
100.00%
16
62.41%
75.61%
91.18%
64.58%
17
0.00%
0.00%
0.00%
0.00%
18
100.00%
100.00%
100.00%
100.00%
19
85.94%
82.35%
77.78%
87.50%
20
100.00%
100.00%
100.00%
100.00%
Download full table (.csv)
Results
Global