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https://github.com/giabb/the-simpsons-character-recognizer
Vision and Perception exam project - "Sapienza" University of Rome, Spring Semester 2020
https://github.com/giabb/the-simpsons-character-recognizer
cnn computer-vision keras notebook python3 vgg16
Last synced: 23 days ago
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Vision and Perception exam project - "Sapienza" University of Rome, Spring Semester 2020
- Host: GitHub
- URL: https://github.com/giabb/the-simpsons-character-recognizer
- Owner: giabb
- License: mit
- Created: 2021-03-02T17:19:34.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-06-30T11:46:43.000Z (7 months ago)
- Last Synced: 2024-11-15T03:19:06.684Z (3 months ago)
- Topics: cnn, computer-vision, keras, notebook, python3, vgg16
- Language: Jupyter Notebook
- Homepage:
- Size: 1020 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# The Simpsons Character Recognizer
This project was developed during the 2020 Vision and Percpetion course held by [Prof. Pirri](http://www.diag.uniroma1.it//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](https://www.kaggle.com/alexattia/the-simpsons-characters-dataset).
## Summary
- [Getting Started](#getting-started)
- [Results](#results)
- [Authors](#authors)
- [License](#license)
- [Acknowledgments](#acknowledgments)
## Getting Started
The project contains only a Jupyter Notebook file. Meet the prerequisite and use it.
[Google Colaboratory](https://colab.research.google.com/) is recommended.
### Prerequisites
You have two ways of meeting the prerequisites:
- First (recommended, online)
- Use [Google Colaboratory](https://colab.research.google.com/)
- 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](https://github.com/giabb)
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
## Acknowledgments
- **Billie Thompson** - *Provided README Template* - [PurpleBooth](https://github.com/PurpleBooth)