Parking lot object detection

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  MLobjectdetectionresults

Inspiration

What it does

How I built it

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for Parking lot object detection

My main inspiration is the ability to create imaginative solutions for real world problems that can help make life more efficient and overall more synchronized.

Helps detects open parking spots that are available w/o having to go from row to row to look for open parking.

Using various things such as data from the internet, google cloud platform, and tensorflow to convert models to tensor lite models

Creating a sufficient system that can help reduce pollution, congestion, and save time

Learned how to create and train machine learning models

Deploying it to an edge device that has consistent confidence rate/value

Built With

• google-cloud