IMAGE ANALYTICS USING EMBEDDINGS

In one implementation, a device receives, via a user interface, one or more parameters regarding formation of an embedding of an image. The device forms, in accordance with the one or more parameters, an embedding of the image by inputting it to a machine learning-based encoder model that was trained to maximize a measure of data utility of its output embeddings. The device provides the embedding for use to train an analytics model. The device causes the analytics model to be used to make inferences about embeddings derived from images captured by one or more cameras.