Newly-Developed Libraries: A Blessing and a Curse?

Hello everyone, welcome back to my blog! This week I continued to work on training my model. Most importantly, I combined another dataset with my original one because it had more signs – fortunately they were similar in format, but I still had to make some changes. There were less images per sign in the first dataset than the second, so I had to perform data augmentation to make sure that each sign had about the same amount of images associated with them. This is so that the model isn’t biased toward predicting signs that were more populous during training. I also had to retrain my model, which took more time now that I had more data.

Although I finished training the models in the end, I encountered a few problems along the way. Troubleshooting took more time than before because the model took longer to train on the data. Additionally, I had trouble converting my model to a format called TFLite, which is particularly optimized for performance on mobile devices. Since TFLite is still being developed there aren’t any immediately obvious solutions to my problem, so I will have to do a bit more digging before I can continue. I’m hoping that I can resolve this and have enough time to start developing my app next (next) week.

Until next time,
Elysse Ahmad Yusri