Inspiration
We chose this project because we wanted to apply machine learning algorithms, while going with the theme of the hackathon, cartoons.
What it does
After being trained with about 3700 samples, it now classifies pictures to cartoons they belong to
How I built it
I built it using Python, together with libraries such as Keras, Tensorflow, OpenCV
Challenges I ran into
Long training times
Accomplishments that I'm proud of
Accuracy of 99%
What I learned
I learned how to implement a convolutional neural network
What's next for Cartoonomaniac
I will add more cartoons to the dataset and retrain
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