This week, I helped to find additional garbage image datasets, relabel images from our dataset, and retrain the image classifier. I also wrote short scripts to help with these steps which should speed up the process next week. So far, we have been training on the Jetson Nano, but ideally we would use AWS. I set up an instance on AWS this week, but could not figure out how to retrain the Resnet50 model using our dataset.
My progress is on-track. Our entire project is integrated and we have already added more pictures to our dataset. Next week, I hope to continue updating the image dataset, retraining the image classifier, and testing the overall accuracy. I will also continue to experiment with AWS, but if that does not work, training on the Jetson Nano is sufficient though slightly inconvenient.