Detection Task

Object detection, a core computer vision task, aims to identify and locate objects within images or videos. Current research focuses on improving accuracy and efficiency across diverse domains, employing architectures like YOLO (various versions), DETR, and transformers, often enhanced with techniques such as knowledge distillation and data augmentation (including synthetic data generation). These advancements are crucial for applications ranging from autonomous driving and robotics to medical image analysis and resource management in industries like food processing, significantly impacting various scientific fields and practical applications.