I used neural networks to see what a self-driving car sees


I recently won first place in the Nexar Traffic Light Recognition Challenge, computer vision competition organized by a company that’s building an AI dash cam app. In this post, I’ll describe the solution I used. I’ll also explore approaches that did and did not work in my effort to improve my model. Don’t worry — you don’t need to be an AI expert to understand this post. I’ll focus on the ideas and methods I used as opposed to the technical implementation. The challenge The goal of the challenge was to recognize the traffic light state in images taken by drivers…

This story continues at The Next Web

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