Text Detector

Text detection, the automated identification of text within images or documents, aims to improve efficiency and accuracy in various applications. Current research focuses on enhancing the robustness and speed of text detectors, exploring architectures like transformers and incorporating techniques such as contextual reasoning and adaptive shrink-masks to handle diverse text shapes, sizes, and challenging conditions like low light. These advancements are crucial for applications ranging from automated document processing and educational assessment to content moderation and accessibility tools, impacting fields like computer vision, natural language processing, and digital humanities.