yolo-annotator-desktop

YOLO Annotator Desktop

Desktop YOLO annotation tool for detection, OBB, segmentation, pose, and classification datasets.

YOLO Annotator Desktop is a local-first image labeling app for people who want to build YOLO datasets without uploading private images to a hosted service. It uses ordinary image folders, label folders, class files, and a small .yad.json project wrapper.

What It Supports

Workflow	Supported
YOLO detection boxes	Yes
Ultralytics YOLO OBB rotated boxes	Yes
YOLO segmentation polygons	Yes
YOLO pose keypoints	Yes
YOLO classification folders	Yes
YOLO data.yaml import/export	Yes
COCO JSON helpers	Yes
Pascal VOC XML helpers	Yes
Local quality checks	Yes

Install

Download the latest release from:

https://github.com/sicaizhuang/yolo-annotator-desktop/releases

Install a wheel:

py -m pip install yolo_annotator_desktop-0.5.0-py3-none-any.whl
yolo-annotator-desktop

Or run from source:

git clone https://github.com/sicaizhuang/yolo-annotator-desktop.git
cd yolo-annotator-desktop
py -m pip install -e .
yolo-annotator-desktop

Typical Uses

• Label a new object-detection dataset for YOLOv5, YOLOv8, YOLOv10, YOLOv11, and other standard YOLO TXT workflows.
• Review and clean existing labels before training.
• Convert COCO or Pascal VOC projects into YOLO-friendly project folders.
• Build local datasets where images should not be uploaded to a web service.
• Annotate rotated objects with OBB labels.
• Prototype segmentation, pose, or classification datasets in the same desktop app.

Project Links

• GitHub repository: https://github.com/sicaizhuang/yolo-annotator-desktop
• Latest release: https://github.com/sicaizhuang/yolo-annotator-desktop/releases/tag/v0.5.0
• English README: https://github.com/sicaizhuang/yolo-annotator-desktop/blob/main/README.md
• Chinese README: https://github.com/sicaizhuang/yolo-annotator-desktop/blob/main/README_zh-CN.md

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