Determining data relevance and labeling, model updating, and deployment

A system comprising:

• one or more computing devices of a provider network implementing a model development service, the one or more computing devices including one or more processors and memory storing instructions that, upon execution by the one or more processors, cause the model development service to invoke one or more other services of the provider network to:
• filter a set of images using an image filtering service of the provider network to generate a set of filtered images;
• label the set of filtered images using a data labeling service of the provider network to generate a set of labeled, filtered images;
• train a machine learning (ML) model from a ML algorithm using the set of labeled, filtered images using a ML training service of the provider network to generate a trained ML model;
• and
• cause deployment of the trained ML model onto a device.