Machine learning of dental images for E-commerce

摘要

Machine learning of a dental image for e-commerce is described. An aggregator server may receive dental images of an e-commerce consumer from an e-commerce provider. The dental images are matched to a probability dataset and correlated with an e-commerce consumer dataset to produce an e-commerce dataset. With different resolutions each neural network machine learns to probability map and detect different dental object probabilities. Correlated dental object probabilities of dental images, e-commerce consumer dental images, dental image datasets, e-commerce consumer datasets and e-commerce datasets are provided to e-commerce providers, e-commerce consumers, e-commerce administrators and machine learning entities which may use the data for a probability diagnosis aid, a probability demonstration aid or may buy, sell, exchange and transfer at least one of: a dental image, an e-commerce consumer dental image, a dental image dataset, an e-commerce consumer dataset, an e-commerce dataset over a communication network such as the internet.