object-annotator 1.0.0

Desktop image annotation tool for object detection datasets

Object Annotator

Object Annotator is a desktop tool for labeling images for object detection datasets. It supports drawing bounding boxes and exporting annotations in Pascal VOC, YOLO, and CreateML formats.

Install

pip install object-annotator

To enable the optional YOLO training/prediction assistant:

pip install "object-annotator[assistant]"

Run

object-annotator

Optional startup arguments:

object-annotator [IMAGE_DIR] [CLASS_FILE] [SAVE_DIR]

Features

• Draw, edit, copy, and delete bounding boxes
• Label objects with custom classes
• Export Pascal VOC (.xml), YOLO (.txt), and CreateML (.json)
• Quickly navigate image folders
• Optional YOLO-assisted prediction and training workflow

Common shortcuts

Shortcut	Action
Ctrl+U	Open image directory
Ctrl+R	Change save directory
Ctrl+S	Save annotation
Ctrl+D	Duplicate selected box
W	Create bounding box
A	Previous image
D	Next image
Delete	Delete selected box

Development

python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
python -m unittest discover tests
python -m build

The application package lives in src/object_annotator.