Baal is an active learning library supporting both industrial and research use cases. It implements Bayesian acquisition functions such as BALD and entropy to guide the selection of the most informative unlabeled samples for annotation, reducing labeling costs. The library integrates with PyTorch and supports deep learning models for active learning workflows.