diff --git a/docs/source/using_models.rst b/docs/source/using_models.rst
index 17b2be0d4d..6ea485ec05 100644
--- a/docs/source/using_models.rst
+++ b/docs/source/using_models.rst
@@ -100,8 +100,8 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
    * - crnn_mobilenet_v3_small
      - (32, 128, 3)
      - 2.1M
-     -
-     -
+     - 86.21
+     - 90.56
      -
    * - crnn_mobilenet_v3_large
      - (32, 128, 3)
@@ -171,6 +171,8 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------------------------------+------------+---------------+---------+------------+---------------+---------+
 | db_resnet50 + sar_resnet31             | 71.25      | 76.29         | 0.27    | 84.50      | **81.96**     | 0.83    |
 +----------------------------------------+------------+---------------+---------+------------+---------------+---------+
+| db_resnet50 + crnn_mobilenet_v3_small  | 69.85      | 74.80         |         | 80.85      | 78.42         | 0.83    |
++----------------------------------------+------------+---------------+---------+------------+---------------+---------+
 | db_mobilenet_v3_large + crnn_vgg16_bn  | 67.73      | 71.73         |         | 71.65      | 59.03         |         |
 +----------------------------------------+------------+---------------+---------+------------+---------------+---------+
 | Gvision text detection                 | 59.50      | 62.50         |         | 75.30      | 70.00         |         |
@@ -190,23 +192,25 @@ FPS (Frames per second) is computed after a warmup phase of 100 tensors (where t
 Since you may be looking for specific use cases, we also performed this benchmark on private datasets with various document types below. Unfortunately, we are not able to share those at the moment since they contain sensitive information.
 
 
-+----------------------------------------------+----------------------------+----------------------------+----------------------------+----------------------------+
-|                                              |          Receipts          |            Invoices        |            IDs             |        US Tax Forms        |
-+==============================================+============+===============+============+===============+============+===============+============+===============+
-| **Architecture**                             | **Recall** | **Precision** | **Recall** | **Precision** | **Recall** | **Precision** | **Recall** | **Precision** |
-+----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
-| db_resnet50 + crnn_vgg16_bn (ours)           |   78.70    |   81.12       | 65.80      |   70.70       |   50.25    |   51.78       |   79.08    |   92.83       |
-+----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
-| db_resnet50 + master (ours)                  | **79.00**  | **81.42**     | 65.57      |   69.86       |   51.34    |   52.90       |   78.86    |   92.57       |
-+----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
-| db_resnet50 + sar_resnet31 (ours)            |   78.94    |   81.37       | 65.89      | **70.79**     | **51.78**  | **53.35**     |   79.04    |   92.78       |
-+----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
-| db_mobilenet_v3_large + crnn_vgg16_bn (ours) |   78.36    |   74.93       | 63.04      | 68.41         | 39.36      | 41.75         |   72.14    |   89.97       |
-+----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
-| Gvision doc. text detection                  | 68.91      | 59.89         | 63.20      | 52.85         | 43.70      | 29.21         |   69.79    |   65.68       |
-+----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
-| AWS textract                                 | 75.77      | 77.70         | **70.47**  | 69.13         | 46.39      | 43.32         | **84.31**  | **98.11**     |
-+----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
++----------------------------------------------+----------------------------+----------------------------+----------------------------+----------------------------+----------------------------+----------------------------+
+|                                              |          Receipts          |            Invoices        |            IDs             |        US Tax Forms        |         Resumes            |         Road Fines         |
++==============================================+============+===============+============+===============+============+===============+============+===============+============+===============+============+===============+
+| **Architecture**                             | **Recall** | **Precision** | **Recall** | **Precision** | **Recall** | **Precision** | **Recall** | **Precision** | **Recall** | **Precision** | **Recall** | **Precision** |
++----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
+| db_resnet50 + crnn_vgg16_bn (ours)           |   78.70    |   81.12       | 65.80      |   70.70       |   50.25    |   51.78       |   79.08    |   92.83       |            |               |            |               |
++----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
+| db_resnet50 + master (ours)                  | **79.00**  | **81.42**     | 65.57      |   69.86       |   51.34    |   52.90       |   78.86    |   92.57       |            |               |            |               |
++----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
+| db_resnet50 + sar_resnet31 (ours)            |   78.94    |   81.37       | 65.89      | **70.79**     | **51.78**  | **53.35**     |   79.04    |   92.78       |            |               |            |               |
++----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
+| db_resnet50 + crnn_mobilenet_v3_small (ours) |   76.81    |     79.15     |    64.89   |    69.61      |  45.03     | 46.38         |  78.96     |   92.11       |    85.91   |     87.20     |   84.85    |     85.86     |
++----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
+| db_mobilenet_v3_large + crnn_vgg16_bn (ours) |   78.36    |   74.93       | 63.04      | 68.41         | 39.36      | 41.75         |   72.14    |   89.97       |            |               |            |               |
++----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
+| Gvision doc. text detection                  | 68.91      | 59.89         | 63.20      | 52.85         | 43.70      | 29.21         |   69.79    |   65.68       |            |               |            |               |
++----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
+| AWS textract                                 | 75.77      | 77.70         | **70.47**  | 69.13         | 46.39      | 43.32         | **84.31**  | **98.11**     |            |               |            |               |
++----------------------------------------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+------------+---------------+
 
 
 Two-stage approaches