We were inspired by the CSO mascot, the duck.

What it does

The model will identify ducks in images or realtime. It will also differentiate whether the duck is real or a rubber duck. You can also call or message the Twilio number and get a surprise message.

How we built it

We used the roboflow object detection model, and trained it with three-thousand annotated images of real and rubber ducks.

Challenges we ran into

We had geese in our data set, skewing it slightly. Also, it was difficult to find a large enough quality data set to train our model; as even though we trained it with three-thousand images, it still wasn't enough to get the model above eighty percent accuracy.

Accomplishments that we're proud of

We were able to successfully train a model that can find ducks live and investigate a social experiment.

What we learned

We learned about the importance of quality data when training a model, and the importance of quality annotations in order to get precise results.

What's next for QuackQuack

We would like to expand to a global scale and contribute all earnings to the "Ducks Unlimited Foundation" committed to conserving the habitats of local ducks throughout the North American continent.

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