uploading images to a marketplace comprising a market that is managed by a blockchain ledger with smart contracts;

recording references to the images on the blockchain ledger;

measuring one or more annotation quality metrics of local and global annotations;

saving the local and global annotations on a cloud object storage server and encrypting the local and global annotations with a unique fingerprint;

determining that an image quality threshold has been met based on the measured one or more annotation quality metrics of the local and global annotations;

providing the one or more annotation quality metrics to the marketplace upon determining that the image quality threshold has been met;

pre-processing and standardizing the images;

training a model using the images and the local and global annotations, wherein training the model comprises using training data to assist the model in generalizing to unseen data in clinical use to both improve the training data and the model;

recording the model in the blockchain ledger, using a smart contract to connect the images and annotations to an individual;

providing the model to the marketplace; and

annotating one or more images on the marketplace to predict medical diagnostics using the trained model.