Where does one with a basic understanding of ML and MLOps start with training a computer vision model that identifies unknown features in fixed-scene imagery and allows the features to be labeled as they are identified? Ideally, I'd like to start with a model that knows nothing and use "human in the loop" method of slowly training the model to recognize distinct patterns as features.