Automated labeling involves the use of artificial intelligence and machine learning algorithms. These systems are trained on large datasets of labeled images to recognize patterns and features within new, unlabeled images. Common approaches include neural networks and deep learning, which can learn complex features and improve over time with more data exposure.
