LabelImg
An open-source local image annotation tool that supports Pascal VOC and YOLO format outputs. Known for its lightweight footprint and ease of installation, it is one of the most widely used local annotation tools in the computer vision field.
Timeline (last 90 days)
LabelImg is an open-source annotation tool that supports rectangular box annotation; it is lightweight, but maintenance has slowed.
LabelImg and LabelMe are suited to small projects that need quick onboarding, while CVAT and Label Studio are better suited to teams that need multi-person collaboration and process management.
LabelImg is a classic rectangular box annotation tool that outputs Pascal VOC and YOLO formats; CVAT is maintained by the OpenCV team and supports polygon, keypoint, and attribute annotation as well as multi-person collaboration and task assignment.
Annotating 200-500 hand-drawn wireframes with LabelImg or CVAT, combined with data augmentation (rotation, scaling, stroke perturbation), is enough to obtain a demo-level YOLO model that can be shown.
LabelImg was open-sourced by Tzutalin in 2015, supports Pascal VOC and YOLO format output, and has accumulated more than 20,000 stars on GitHub.
LabelImg is an open-source standalone annotation tool that supports bounding box annotation and YOLO/VOC format export; Roboflow is an all-in-one data management platform that provides online annotation, automatic data augmentation, format conversion, and hosting services.
All Facts (6)
LabelImg is an open-source annotation tool that supports rectangular box annotation; it is lightweight, but maintenance has slowed.
50%UnverifiedLabelImg and LabelMe are suited to small projects that need quick onboarding, while CVAT and Label Studio are better suited to teams that need multi-person collaboration and process management.
50%UnverifiedLabelImg is a classic rectangular box annotation tool that outputs Pascal VOC and YOLO formats; CVAT is maintained by the OpenCV team and supports polygon, keypoint, and attribute annotation as well as multi-person collaboration and task assignment.
50%UnverifiedAnnotating 200-500 hand-drawn wireframes with LabelImg or CVAT, combined with data augmentation (rotation, scaling, stroke perturbation), is enough to obtain a demo-level YOLO model that can be shown.
50%UnverifiedLabelImg was open-sourced by Tzutalin in 2015, supports Pascal VOC and YOLO format output, and has accumulated more than 20,000 stars on GitHub.
50%UnverifiedLabelImg is an open-source standalone annotation tool that supports bounding box annotation and YOLO/VOC format export; Roboflow is an all-in-one data management platform that provides online annotation, automatic data augmentation, format conversion, and hosting services.
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