Autoannotationtool: C++ and Qt5 Semantic Segmentation Labeling Tool

Developed by andywang0607 and last updated in June 2023, this C++ and Qt5-based tool facilitates the creation of semantic segmentation labels. It provides functionality for generating rectangle and polygon annotations for image-based computer vision training workflows.

Use Cases

• Generating polygon-based masks for semantic segmentation models
• Creating bounding box coordinates for object detection datasets
• Applying classification labels to images using the integrated QtQuick interface

Strengths

• Supports both rectangle and polygon annotation modes
• MIT licensed for open-source use and modification
• Built on Qt5 and OpenCV for cross-platform image processing

Limitations

• Does not include a pre-labeled image collection
• Requires C++ and Qt5 development environments for execution
• No recent updates since mid-2023

Provenance

Source

andywang0607 on GitHub

Collection Method

manual annotation

Freshness

Last updated in June 2023; no recent maintenance activity recorded.