Bumper Detection ConvNet: Results

I had written in my previous post that I had written the Convolutional Neural Network to detect bumpers in a scene. The testing worked great and the ConvNet was showing an accuracy of 99.2% on the test dataset by the fifth epoch. The overall network was quite small and overall the task is something that even a simple CV code would have done. But since I’m not that experienced with ML, and wanted to do a good segmentation task, and this one fit perfectly. Anyhow, I put the predictions on the test and with a bit of fine tuning, the results are satisfactory (not awesome), and may help the group in the future.

So, here’s how our net performs.



With better tuning and maybe better fitting, maybe it would perform great. I’d update this post then, maybe.

The entire code is hosted on Github

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