Smart Annotation And Anonymizer

This paper introduces the Smart Annotation and Anonymization tool, a sophisticated software application developed using PyQT5, aimed at optimizing object detection and recognition processes. The tool seamlessly integrates manual and automated annotation, anonymization, and segmentation techniques for both images and videos. By harnessing advanced deep learning algorithms, the Smart Annotation feature enables users to label images and videos manually or automatically, streamlining the creation of precise datasets for object detection and recognition tasks. The paper emphasizes the tool’s prowess in automatically recognizing and tagging objects in images and videos, presenting a significant time-saving advantage. The Anonymizer feature addresses privacy concerns by automatically blurring or obscuring faces and other identifying features in images and videos. This functionality is crucial for upholding the privacy of individuals captured by sensors or cameras, especially in applications such as Automatic Driver Assistance Systems (ADAS). Furthermore, the paper underscores the inclusion of Instance and Panoptic Segmentation, dividing pixels in images into regions or contours and assigning a class to each, thereby enhancing object detection and recognition.