Compare PhotoViewerPro vs. RectLabel

Experience a true full-screen viewer that offers robust photo zoom functionality along with a customizable image magnifier. It features an array of powerful image editing tools that allow for resizing, resampling, rotating, flipping, cropping, sharpening, blurring, and adjusting various lighting, color, curves, and levels parameters. Users can select from eleven distinct resampling algorithms when resizing their images. Additionally, it provides a range of image color effects, enabling adjustments to grayscale, sepia, and negative filters, as well as red, green, and blue balance modifications. Special image effects enhance creativity with options like annotation, drop shadows, framing, bump mapping, sketching, oil painting, and lens effects. The application also allows for the drawing of texts, lines, highlights, rectangles, ovals, and callout shapes directly onto images. Advanced tools such as the clone stamp and healing brush ensure seamless editing, while the superior red-eye removal feature guarantees a natural finish. Users benefit from a multi-level undo and redo functionality, making it easy to revert changes. The software supports one-touch display options for best fit and actual size images, along with comprehensive image management that includes tagging capabilities and convenient drag-and-drop folder operations. A histogram display coupled with a color counter aids in meticulous color analysis, and users can compare multiple images side-by-side—up to four at a time—to efficiently filter out less desirable shots. Furthermore, it supports image EXIF metadata, offering insights into the captured details. All these features come together to create a thoroughly engaging photo editing experience.

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