The dataset contains annotated images from various CS
matches, offering diverse scenarios and lighting conditions to ensure comprehensive training data. Each image is meticulously annotated, distinguishing between CT and T bodies and heads for precise object detection. This level of detail is essential for applications such as game analytics, player performance monitoring, and AI training for gaming bots. By informing users about the extra class, we ensure transparency and proper handling of the dataset, contributing to advancements in computer vision applications within the gaming industry.