Inspiration
Having learned recently of the problems facing ocean wildlife, we were curious to see how modern computing power stacked up against the instinctual ability of animals to hunt prey.
What it does
It takes an image of either a jellyfish or a plastic bag and returns our trained model's best guess.
How we built it
Since we had some training on how to train a neural network to identify images, we set out to make a reliable classifier that could compare images of jellyfish and images of plastic bags. Using deep learning libraries in python, we were able to train and deploy a relatively effective model.
What we learned
We learned quite a bit about how classifiers work, and also how to develop and deploy basic web apps.
Built With
- fast.ai
- python
- render
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