Project Introduction: RectLabel-support
RectLabel-support serves as a comprehensive resource for users of the RectLabel applications, providing all the necessary information and guidance required to leverage the powerful features of these tools.
RectLabel Applications
For those interested in the RectLabel applications, they are available for download through the following links:
Additionally, users can explore the Help page for thorough guidance on how to utilize the applications effectively.
Key Features of RectLabel
RectLabel is packed with a host of advanced features designed to simplify the labeling process for various types of projects:
- Segment Anything Models: Users can label polygons and pixels with precision, employing models tailored to segment anything effectively.
- Automatic Labeling: The integration of Core ML models allows for automatic labeling, making the process more efficient and less time-consuming.
- Text Recognition: Users have access to automatic recognition of text for both lines and words, streamlining the organization and labeling of textual data.
- Versatile Labeling Options: The application supports labeling for cubic bezier curves, line segments, points, and oriented bounding boxes—particularly useful for aerial imagery.
- Keypoints and Skeletons: It enables labeling of keypoints in conjunction with a skeleton, providing an additional layer of detail.
- Pixel Labeling: Users can employ brushes and superpixels for fine-grained pixel labeling, adding depth to image analysis.
- Customization and Searchability: The software offers robust settings customization for objects, attributes, and hotkeys to speed up the labeling process. It also includes a searchable gallery for objects, attributes, image names, and memos.
- Format Exports: RectLabel supports exports to various formats including COCO, Labelme, CreateML, YOLO, and DOTA, catering to diverse user needs.
- Mask Image Exporting: Users can export indexed color mask images and grayscale mask images, enhancing flexibility in data handling.
- Additional Functionalities: The project includes functionalities such as converting video to image frames and augmenting images, expanding the scope of possible applications.
Visual Resources
To visualize these capabilities, here are some graphical representations showing how RectLabel works:
- Polygon Labeling
- Pixel Labeling
- Core ML Polygon Labeling
- Optical Character Recognition
- Oriented Bounding Box Drawing
- Search Features
Overall, RectLabel-support is an indispensable tool for anyone looking to efficiently manage and annotate data across a wide array of projects, with features emphasizing automation, accuracy, and user-friendliness.