MLJ.jl: A Julia package for composable machine learning
For those with experience with ML in Julia I’d love to get some advice. I have a little business that sells 3D printed jewelry (<a href="https://lulimjewelry.com" rel="nofollow">https://lulimjewelry.com</a>). My biggest seller is customers engraving their or their loved ones fingerprint on the ring. Most of those prints come in needing manual cleanup, which I can usually do in a few minutes.<p>I’d love to train a ML algorithm to do this, and I’ve been building up the before and after pictures over time using my manually cleaned up customer fingerprint images.
Can anyone give me suggestions or pointers on the sort of algorithm that may be best suited for this task? Just something to get me started down the correct path would be very helpful.