Inspiration
This was a challenge for the Major Hacking League (Local Hack Day 2021). The goal was to learn about something new and I managed to use a great OpenSource project to identify common-day elements or objects.
What it does
Given an specific image(s), it tries to find common-day objects and marks them in an output image.
How we built it
Using amazing OpenSource projects like: YOLO-tiny, OpenCV and Darknet.
Challenges we ran into
Understanding the basics of Deep Neural Networks and how to use them in real projects.
Accomplishments that we're proud of
Being able to classify different objects, using a simple Python approach (simple thanks to the amazing projects that I used and the dnn that were already trained).
What we learned
How to combine OpenCV with other projects, and take advantage of great built-in functions to work with Deep Neural Networks in Python and OpenCV.
What's next for Object Detection With DNN!
To train my own Deep Neural Network from Scratch!
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