Imbalance detection refers to the process of identifying disproportionate distributions in datasets or systems, which can lead to inefficiencies or biases in analysis and outcomes. This process is crucial for ensuring fair and accurate models, especially in machine learning where imbalanced classes can skew predictions and results.