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RectLabel: The Ultimate Offline Image Annotation Tool for Object Detection and Segmentation

Image Annotation Tools

Discover RectLabel, the ultimate offline image annotation tool for object detection and segmentation. Enjoy advanced features, automatic labeling, and versatile export options.

About RectLabel

RectLabel, developed by Ryo Kawamura, stands out as an exceptional offline image annotation tool tailored for object detection and segmentation. Its user-friendly interface and robust features make it an invaluable asset for professionals in the field of machine learning and computer vision.

One of the key highlights of RectLabel is its versatility in labeling. Users can effortlessly label polygons and pixels using advanced Segment Anything models, ensuring precision in their annotations. The automatic labeling feature powered by Core ML models significantly enhances productivity, allowing users to focus on more complex tasks while the software handles routine labeling.

The tool's capability to recognize text for lines and words is particularly impressive, making it suitable for a wide range of applications. Additionally, RectLabel supports the labeling of cubic bezier curves, line segments, and points, which is essential for detailed image analysis.

For those working with aerial images, the ability to label oriented bounding boxes is a game-changer. Furthermore, the option to label keypoints with a skeleton adds another layer of functionality, catering to users who require intricate detail in their annotations.

RectLabel also excels in customization, offering settings for objects, attributes, hotkeys, and fast labeling. The search functionality for objects, attributes, image names, and memos in a gallery view streamlines the workflow, making it easy to manage large datasets.

Exporting capabilities are robust, with support for popular formats such as COCO, Labelme, CreateML, YOLO, and DOTA. This flexibility ensures that users can seamlessly integrate their annotated data into various machine learning frameworks. The option to export indexed color mask images and grayscale mask images further enhances the tool's utility.

Lastly, the ability to convert video to image frames and augment images adds significant value, making RectLabel a comprehensive solution for image annotation needs.

RectLabel is a powerful and efficient tool that meets the demands of modern image annotation. Its extensive features, ease of use, and flexibility make it a top choice for professionals looking to enhance their object detection and segmentation projects. Highly recommended for anyone in the field!

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