File size: 2,542 Bytes
2366e36
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
Collections:
- Name: SAR
  Metadata:
    Training Data: OCRDataset
    Training Techniques:
      - Adam
    Training Resources: 48x GeForce GTX 1080 Ti
    Epochs: 5
    Batch Size: 3072
    Architecture:
      - ResNet31OCR
      - SAREncoder
      - ParallelSARDecoder
  Paper:
    URL: https://arxiv.org/pdf/1811.00751.pdf
    Title: 'Show, Attend and Read:A Simple and Strong Baseline for Irregular Text Recognition'
  README: configs/textrecog/sar/README.md

Models:
  - Name: sar_r31_parallel_decoder_academic
    In Collection: SAR
    Config: configs/textrecog/sar/sar_r31_parallel_decoder_academic.py
    Metadata:
      Training Data:
        - ICDAR2011
        - ICDAR2013
        - ICDAR2015
        - COCO text
        - IIIT5K
        - SynthText
        - SynthAdd
        - Syn90k
    Results:
      - Task: Text Recognition
        Dataset: IIIT5K
        Metrics:
          word_acc: 95.0
      - Task: Text Recognition
        Dataset: SVT
        Metrics:
          word_acc: 89.6
      - Task: Text Recognition
        Dataset: ICDAR2013
        Metrics:
          word_acc: 93.7
      - Task: Text Recognition
        Dataset: ICDAR2015
        Metrics:
          word_acc: 79.0
      - Task: Text Recognition
        Dataset: SVTP
        Metrics:
          word_acc: 82.2
      - Task: Text Recognition
        Dataset: CT80
        Metrics:
          word_acc: 88.9
    Weights: https://download.openmmlab.com/mmocr/textrecog/sar/sar_r31_parallel_decoder_academic-dba3a4a3.pth

  - Name: sar_r31_sequential_decoder_academic
    In Collection: SAR
    Config: configs/textrecog/sar/sar_r31_sequential_decoder_academic.py
    Metadata:
      Training Data:
        - ICDAR2011
        - ICDAR2013
        - ICDAR2015
        - COCO text
        - IIIT5K
        - SynthText
        - SynthAdd
        - Syn90k
    Results:
      - Task: Text Recognition
        Dataset: IIIT5K
        Metrics:
          word_acc: 95.2
      - Task: Text Recognition
        Dataset: SVT
        Metrics:
          word_acc: 88.7
      - Task: Text Recognition
        Dataset: ICDAR2013
        Metrics:
          word_acc: 92.4
      - Task: Text Recognition
        Dataset: ICDAR2015
        Metrics:
          word_acc: 78.2
      - Task: Text Recognition
        Dataset: SVTP
        Metrics:
          word_acc: 81.9
      - Task: Text Recognition
        Dataset: CT80
        Metrics:
          word_acc: 89.6
    Weights: https://download.openmmlab.com/mmocr/textrecog/sar/sar_r31_sequential_decoder_academic-d06c9a8e.pth