A deep learning object detection model is in production. When the model processes a new image to find and label objects, which stage of the AI lifecycle is taking place?

Inference is the stage where a trained model is used to make predictions or decisions on new, unseen data. In this scenario, the object detection model is processing a new image to find and label objects, which is precisely what inference entails. Training is the process of teaching the model using labeled data, which happens before deployment. Model deployment is the act of making the model available for use, but the actual processing of new data is inference. Bias correction is a technique applied during or after training to mitigate unfairness in model predictions, not the act of processing new data.