After creating a few different collections and getting a better understanding of training the models, I wanted to revisit the SalVanPic Collection. I realized there were quite a few duplicate images, so I went through the dataset and removed them, and added additional images that I have collected. There are now 4122 various Salvador Dali, Vincent Van Gogh, and Pablo Picasso images in the dataset that the machine learning algorithm trained on for 11 days. I also decided to train these from scratch, instead of transferring the learning from Generation 1, since I wanted to increase the resolution from 512 to 1024 for when I print these onto canvas. Typically I generate 1000 images and pick 10 to NFT, but I could not narrow it down to only 10 for this generation since there were so many that I liked. Instead, there are 20 NFTs in Generation 2 SalVanPic.
Each NFT comes with a code that is unlocked after purchase that you will be able to redeem and have a canvas print of the NFT shipped to you. I am currently looking into AI and Machine Learning powered robotic arms that will paint the NFT's onto canvas. Once that is completed, I will create a portal where you can redeem the code for the painted canvas. Each NFT is unique with only one ever created (minted).
You can view the whole collection on OpenSea by clicking here.