The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE CVPR 2024, addresses challenges in understanding human emotions and behaviors, crucial for human-centered technologies. The competition includes five sub-challenges: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection, Compound Expression Recognition, and Emotional Mimicry Intensity Estimation. Each challenge involves specific tasks, such as estimating valence and arousal, recognizing expressions, detecting action units, identifying compound expressions, and estimating emotional mimicry intensity. The competition uses datasets like Aff-Wild2 and C-EXPR-DB, with evaluation metrics including Concordance Correlation Coefficient, F1 Score, and Pearson's Correlation Coefficient. Baseline systems were developed using open-source machine learning toolkits, with results showing varying performance across challenges. The competition aims to foster interdisciplinary collaboration and advance research in affective behavior analysis in real-world settings.The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE CVPR 2024, addresses challenges in understanding human emotions and behaviors, crucial for human-centered technologies. The competition includes five sub-challenges: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection, Compound Expression Recognition, and Emotional Mimicry Intensity Estimation. Each challenge involves specific tasks, such as estimating valence and arousal, recognizing expressions, detecting action units, identifying compound expressions, and estimating emotional mimicry intensity. The competition uses datasets like Aff-Wild2 and C-EXPR-DB, with evaluation metrics including Concordance Correlation Coefficient, F1 Score, and Pearson's Correlation Coefficient. Baseline systems were developed using open-source machine learning toolkits, with results showing varying performance across challenges. The competition aims to foster interdisciplinary collaboration and advance research in affective behavior analysis in real-world settings.