The first part of this hackathon consisted of an object detection lecture & demo, which you can watch below, and a model research phase and initial model setup. In the lecture, we discuss the computer vision algorithms we’ve been using and take a deeper look at three components of object detection: data, model architecture, and training loop.
On October 12, we hosted another hackathon and continued with the object detection implementation based on what we researched in the first hackathon. Download the dataset below if you want to try it yourself.
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