SYSTEMS AND METHODS FOR FINE TUNING IMAGE CLASSIFICATION NEURAL NETWORKS

An authentication engine, residing at one or more computing machines, receives, from a vision device comprising one or more cameras, a probe image. The authentication engine generates, using a trained facial classification neural engine, one or more first labels for a person depicted in the probe image and a probability for at least one of the one or more first labels. The authentication engine determines that the probability is within a predefined low accuracy range. The authentication engine generates, using a supporting engine, a second label for the person depicted in the probe image. The supporting engine operates independently of the trained facial classification neural engine. The authentication engine further trains the facial classification neural engine based on the second label.