Upside Down Image Recognition

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  Upside down image of a dog

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  Upside down image of a cat

Inspiration

A topic I was somewhat familiar with that could be applied with the theme of "upside down"

What it does

Classifies images of upside down dogs and cats.

How we built it

We used a convolutional neural network.

Challenges we ran into

Some challenges we ran into were optimizing the functions and finding the right functions to use.

Accomplishments that we're proud of

Our model being able to correctly classify upside down images and a model training accuracy with over 90%.

What we learned

We learned that CNN's don't particularly struggle with upside down images.

What's next for Upside Down Image Recognition

We can add more animals into our model or predict an image with multiple animals in it.

Built With

• jupyter-notebook
• python