The Simpsons Character Recognizer

This project was developed during the 2020 Vision and Percpetion course held by Prof. Pirri.

The notebook is divided in two sections: the first contains experiments with a custom neural network, the second contains transfer learning experiments with the VGG16 net.

The dataset used in this project is free and available on Kaggle.

Summary

• Getting Started
• Results
• Authors
• License
• Acknowledgments

Getting Started

The project contains only a Jupyter Notebook file. Meet the prerequisite and use it. Google Colaboratory is recommended.

Prerequisites

You have two ways of meeting the prerequisites:

• First (recommended, online)

  • Use Google Colaboratory
  • Done.

• Second (offline)

  • Python3
  • Jupyter pip install jupyterlab
  • Tensorflow (via conda or pip)
    • conda install tensorflow-gpu
    • pip install tensorflow-gpu
  • Numpy pip install numpy
  • Pandas pip install pandas
  • Matplotlib pip install matplotlib
  • Seaborn pip install seaborn
  • Scikit-image pip install scikit-image
  • Scikit-learn pip install scikit-learn

Results

	precision	recall	f1-score	support
abraham_grampa_simpson	1.00	0.96	0.98	48
apu_nahasapeemapetilon	0.96	1.00	0.98	50
bart_simpson	0.91	1.00	0.95	50
charles_montgomery_burns	0.92	0.94	0.93	48
chief_wiggum	0.98	1.00	0.99	50
comic_book_guy	0.98	1.00	0.99	49
edna_krabappel	1.00	0.96	0.98	50
homer_simpson	0.94	1.00	0.97	50
kent_brockman	0.98	0.98	0.98	50
krusty_the_clown	0.98	0.94	0.96	50
lenny_leonard	1.00	0.90	0.95	50
lisa_simpson	0.98	0.98	0.98	50
marge_simpson	1.00	0.98	0.99	50
milhouse_van_houten	1.00	0.98	0.99	49
moe_szyslak	0.94	0.96	0.95	50
ned_flanders	1.00	0.96	0.98	49
nelson_muntz	0.98	0.98	0.98	50
principal_skinner	0.96	0.98	0.97	50
sideshow_bob	1.00	1.00	1.00	47
accuracy			0.97	940
macro avg	0.97	0.97	0.97	940
weighted avg	0.97	0.97	0.97	940

Authors

• Giovanbattista Abbate - giabb

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Billie Thompson - Provided README Template - PurpleBooth