PixelAnnotationTool
A desktop application for semi-automatic image annotation using OpenCV's watershed algorithm with manual brush refinement.
What is PixelAnnotationTool?
PixelAnnotationTool is a desktop application for creating pixel-level annotations on images, primarily used for computer vision and machine learning datasets. It speeds up annotation by combining manual brush tools with OpenCV's watershed algorithm for semi-automatic segmentation. The tool allows users to refine results by adding corrective markers, balancing automation with precision.
Computer vision researchers, machine learning engineers, and data annotators who need to create accurate segmentation masks for training models. It's especially useful for projects requiring pixel-level labeling of images in directories.
Developers choose PixelAnnotationTool for its efficient semi-automatic workflow that reduces manual annotation time while maintaining control over segmentation quality. Its cross-platform availability and integration with OpenCV make it a practical choice for prototyping and data preparation.
Overview
Annotate quickly images.
Use Cases
Best For
- Creating segmentation masks for semantic segmentation datasets
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