https://github.com/kpriyanshu256/animevscartoon
Classification of anime and cartoon.
https://github.com/kpriyanshu256/animevscartoon
anime cartoon cnn keras tflearn transfer-learning vgg19
Last synced: 3 months ago
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Classification of anime and cartoon.
- Host: GitHub
- URL: https://github.com/kpriyanshu256/animevscartoon
- Owner: kpriyanshu256
- Created: 2018-06-02T17:12:02.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2021-05-04T03:08:42.000Z (over 5 years ago)
- Last Synced: 2025-01-26T19:33:01.137Z (over 1 year ago)
- Topics: anime, cartoon, cnn, keras, tflearn, transfer-learning, vgg19
- Language: Jupyter Notebook
- Homepage:
- Size: 1.34 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AnimeVsCartoon
The main objective is to train an artificial neural network to classify anime and cartoons
## Dataset
The dataset is self-mined using Google Chrome's Fatkun Batch Image Downloader Extension.
The dataset contains around 6000 images with almost equal number of images of anime and cartoons
Link to dataset
https://drive.google.com/file/d/1qhcyBgIVjgTap1q3Xiw3RH-zSfPV0Kmv/view?usp=sharing
## Model 1
The model used is a convolutional neural network.
## Model 2
This model uses the initial pre-trained layers of VGG-19.
Weights of the above model
https://drive.google.com/file/d/1Ql6QXMdC0sj2AD2bs6F7Vq37jrREU3kg/view?usp=sharing
## Results
# Model 1
Has a 96.07% training accuracy and a 86.67% test accuracy.
# Model 2
Has a 99% training accuracy and a 90% test accuracy.
## Future Scope
Facial features differ a lot in anime and cartoon. This fact can be exploited to build more efficient models.