Update README.md

Author: sinfulExiled

README.md

@@ -7,19 +7,19 @@ https://www.kaggle.com/niten19/face-shape-dataset
 
 In this report, four distinct challenging scopes are addressed under the supervised machine learning paradigm. They comprise binary classification tasks for gender (A1) and smile detection (A2) along with multi-categorical classification tasks concerning eye-colour (B2) and face-shape (B1) recognition. Most notably, several methodologies are proposed to deal with these duties
 
-|                                       |                   Task A1                    |                                                Task A2                                                 |             Task B1              |                                       Task B2                                       |
+|                                       |                   Test 2                    |                                                Test 4                                                |             Test 2              |                                       Test 3                                      |
 | ------------------------------------- | :------------------------------------------: | :----------------------------------------------------------------------------------------------------: | :------------------------------: | :---------------------------------------------------------------------------------: |
-| Dataset                               |                    CelebA                    |                                                 CelebA                                                 |           Cartoon Set            |                                     Cartoon Set                                     |
+| Dataset                               |                    Face Shape Set                     |                                                 Face Shape Set                                                  |           Face Shape Set            |                                     Face Shape Set                                      |
 | Dataset division                      |                   70:15:15                   |                                                70:15:15                                                |             60:20:20             |                                      60:20:20                                       |
-| Original examples                              |                 5.000 images                 |                                              5.000 images                                              |          10.000 images           |                                    10.000 images                                    |
+| Original examples                              |                 5.000 images                 |                                              5.000 images                                              |          5.000 images           |                                    5.000 images                                    |
 | Size of each image                    |                  178x218x3                   |                                               178x218x3                                                |            500x500x3             |                                      500x500x3                                      |
 | First operations                      |                     None                     | faces are extracted by means of face_recognition models from images previously converted in grayscale |               None               | Harmful images are removed with the pre-trained model_glasses specifically designed |
 | Examples                              |                  Unchanged                   |                                              4990 images                                               |            Unchanged             |                                     8146 images                                     |
 | New image size                        |                  Unchanged                   |                                                96x48x1                                                 |            Unchanged             |                                      Unchanged                                      |
 | Pre-processing                        |       Images are rescaled and reshaped       |         HOG features extracted from face images are standardised before being reduced by PCA          | Images are rescaled and reshaped |                          Images are rescaled and reshaped                           |
 | Data augmentation on training dataset | Images are randomly and horizontally flipped |                                                  None                                                  |               None               |                                        None                                         |
 | Input example shape                   |                   96x96x3                    |                                                 360x1                                                  |            224x224x3             |                                      224x224x3                                      |
-| Model                                 |                     CNN                      |                                                  SVM                                                   |               CNN2               |                                        CNN2                                         |
+| Model                                 |                     CNN                      |                                                  CNN                                                   |               CNN               |                                        CNN                                        |
 | Batch size                            |                      16                      |                                                  None                                                  |                16                |                                         16                                          |
 | Epoch                                 |                      25                      |                                                  None                                                  |                10                |                                         10                                          |