├── .gitignore ├── Age_and_Gender_Prediction.ipynb ├── Age_sex_detection.h5 ├── Emotion_Detection.ipynb ├── LICENSE ├── Model.png ├── README.md └── images_fd ├── 1.png ├── 1_e.png ├── 2.png ├── 2_e.png ├── 3_e.png ├── 4_e.png ├── L_e.png ├── Screenshot from 2020-07-26 00-13-02.png ├── Screenshot from 2020-07-26 00-26-33.png ├── Screenshot from 2020-07-26 00-34-27.png ├── Screenshot from 2020-07-26 00-34-37.png ├── Screenshot from 2020-07-26 00-34-48.png ├── Screenshot from 2020-07-26 00-34-55.png ├── Screenshot from 2020-07-26 00-35-02.png ├── Screenshot from 2020-07-26 00-35-35.png ├── Screenshot from 2020-07-26 01-34-02.png ├── Screenshot from 2020-07-26 02-04-57.png ├── Screenshot from 2020-07-26 02-08-47.png ├── Screenshot from 2020-07-26 02-08-54.png ├── Screenshot from 2020-07-26 02-09-10.png ├── Screenshot from 2020-07-26 02-09-19.png ├── accur_2.png ├── age.png ├── age_p.png ├── cnf_e.png ├── g_a.png ├── loss.png └── sex_p.png /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | -------------------------------------------------------------------------------- /Age_sex_detection.h5: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/abr-98/Face_data_based_deeplearning/3db0cc92645f89d93da50fb5a1ff42b18178cf09/Age_sex_detection.h5 -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 Abhijit Roy 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /Model.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/abr-98/Face_data_based_deeplearning/3db0cc92645f89d93da50fb5a1ff42b18178cf09/Model.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Face_data_based_deeplearning 2 | All Face Data Based Deep learning Applications 3 | 4 | 5 | Emotion Detection Dataset: https://www.kaggle.com/shawon10/ckplus 6 | 7 | Age and Gender Detection Dataset: https://www.kaggle.com/jangedoo/utkface-new? 8 | 9 | 10 | **For Emotion Detection** 11 | 12 | Set Images: 13 | 14 | 15 | ![Instance 1](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/1_e.png) 16 | ![Instance 2](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/2_e.png) 17 | ![Instance 3](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/3_e.png) 18 | ![Instance 4](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/4_e.png) 19 | 20 | 21 | 22 | Model: 23 | 24 | 25 | ![Model](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2000-13-02.png) 26 | 27 | 28 | Evaluation: 29 | 30 | 31 | Loss and Accuracy curves: 32 | 33 | ![Loss](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/L_e.png) 34 | ![Accuracy](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/accur_2.png) 35 | 36 | 37 | Confusion Matrix: 38 | 39 | ![Confusion Matrix](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/cnf_e.png) 40 | 41 | 42 | Testing For images: 43 | 44 | 45 | 46 | ![Instance 1](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2000-34-27.png) 47 | ![Instance 2](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2000-34-37.png) 48 | ![Instance 3](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2000-34-48.png) 49 | ![Instance 4](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2000-34-55.png) 50 | ![Instance 5](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2000-35-02.png) 51 | ![Instance 6](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2000-35-35.png) 52 | 53 | 54 | **For age and gender detection** 55 | 56 | Set Images: 57 | 58 | 59 | ![Instance 1](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/1.png) 60 | ![Instance 2](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/2.png) 61 | 62 | 63 | 64 | Model: 65 | 66 | 67 | ![Model](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2001-34-02.png) 68 | 69 | 70 | Model Structure: 71 | 72 | ![Model_structure](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/Model.png) 73 | 74 | 75 | Evaluation: 76 | 77 | 78 | Loss curve: 79 | 80 | ![Loss](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/loss.png) 81 | 82 | For Age: 83 | 84 | ![Curve](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/age_p.png) 85 | 86 | For Gender: 87 | 88 | Accuracy Curve: 89 | 90 | ![Accuracy](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/g_a.png) 91 | 92 | 93 | Classification Report: 94 | 95 | 96 | ![CR](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2002-04-57.png) 97 | 98 | 99 | Predictioms: 100 | 101 | ![Instance 1](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2002-08-47.png) 102 | ![Instance 2](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2002-08-54.png) 103 | ![Instance 3](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2002-09-10.png) 104 | ![Instance 4](https://github.com/abr-98/Face_data_based_deeplearning/blob/master/images_fd/Screenshot%20from%202020-07-26%2002-09-19.png) 105 | 106 | 107 | 108 | More at: https://medium.com/@myac.abhijit/facial-data-based-deep-learning-emotion-age-and-gender-prediction-47f2cc1edda7 109 | 110 | -------------------------------------------------------------------------------- /images_fd/1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/abr-98/Face_data_based_deeplearning/3db0cc92645f89d93da50fb5a1ff42b18178cf09/images_fd/1.png -------------------------------------------------------------------------------- /images_fd/1_e.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/abr-98/Face_data_based_deeplearning/3db0cc92645f89d93da50fb5a1ff42b18178cf09/images_fd/1_e.png -------------------------------------------------------------------------------- /images_fd/2.png: 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