Summary

Data is critical for deepfakes, as with all AI. Getting the best data is a skill that you have to learn over time. It’s something that you will get better at as you become more experienced with deepfakes. That being said, some tasks can be learned without heavy investment in the process. Cleaning and organizing your data is important – time spent on this can save you time later since your AIs will be less likely to fail.

Filming your own data is sometimes necessary and can get you the best results, as this will give you enough control to fill in missing data or match limited historical data. When you have nothing but historical data, you’re more limited and may need to do further work to improve the data you have. Upscaling and filtering are possible, but you must be careful, as some techniques can add artifacts that interfere with training.

In the end, data is the most important part of training a deepfake and therefore is the most important job...