The paper introduces the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, held alongside the IEEE CVPR 2024 Workshop. The competition focuses on understanding human emotions and behaviors through five sub-challenges: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection, Compound Expression Recognition, and Emotional Mimicry Intensity Estimation. Each challenge targets specific affect-related tasks, such as estimating valence and arousal, recognizing basic and compound expressions, detecting action units, and estimating emotional dimensions. The datasets used include extended versions of Aff-Wild2, C-EXPR-DB, and HUME-Vidmimic2. The paper details the datasets, evaluation metrics, and baseline systems, providing insights into the performance of various methods. The competition aims to foster interdisciplinary collaboration and advance the field of affective behavior analysis in real-world settings.The paper introduces the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, held alongside the IEEE CVPR 2024 Workshop. The competition focuses on understanding human emotions and behaviors through five sub-challenges: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection, Compound Expression Recognition, and Emotional Mimicry Intensity Estimation. Each challenge targets specific affect-related tasks, such as estimating valence and arousal, recognizing basic and compound expressions, detecting action units, and estimating emotional dimensions. The datasets used include extended versions of Aff-Wild2, C-EXPR-DB, and HUME-Vidmimic2. The paper details the datasets, evaluation metrics, and baseline systems, providing insights into the performance of various methods. The competition aims to foster interdisciplinary collaboration and advance the field of affective behavior analysis in real-world settings.