Compare Cortona2D Editor Pro vs. RectLabel

Cortona2D Editor Pro is a versatile graphics editing tool that enables users to create, alter, and render layered graphic elements such as ellipses, polygons, splines, bitmaps, and rasters. Its functionality includes the use of property bundles, which facilitate the definition of sets for line, fill, text, and marker properties, enabling easy transfer between devices, as well as applying these bundles to various objects and selecting them based on their associated properties. Users can also enhance their designs by adding points and segments to different object types, while maintaining control over the editing process through options to select, move, rotate, flip, and delete objects as needed. The editor's comprehensive feature set makes it a powerful tool for both amateur and professional graphic designers.

An offline tool designed for image annotation facilitates both object detection and segmentation tasks. Users can create shapes like polygons, cubic bezier curves, line segments, and individual points for precise labeling. It allows for the drawing of oriented bounding boxes specifically tailored for aerial imagery. The tool also features the ability to mark key points that can be connected by skeletons, as well as the capacity to color pixels using brushes or superpixels. It supports reading and writing in PASCAL VOC XML and YOLO text formats, ensuring compatibility with various machine learning formats. In addition, users can export their work to CreateML for object detection and image classification, as well as to COCO, Labelme, YOLO, DOTA, and CSV formats. The tool also provides options to export indexed color mask images and grayscale mask images to suit different project needs. Users can easily adjust settings related to objects, attributes, hotkeys, and fast labeling for improved efficiency. The label dialog is customizable, allowing for a seamless combination with attributes, and one-click buttons expedite the process of selecting object names. With an impressive auto-suggest feature that considers over 5000 object names, searching for objects, attributes, and image names can be done in a gallery view for convenience. Automatic labeling capabilities are powered by Core ML models, and the tool includes automatic text recognition through OCR technology. Additionally, it has functionalities to convert videos into image frames and perform image augmentation. Language support extends to English, Chinese, Korean, and 11 other languages, making it accessible to a diverse user base while enhancing productivity across different regions. This comprehensive feature set emp