labelTrack

In visual tracking dataset, a sequence of images has one object for each image, in contrast to object detection dataset that has multiple objects in each image. This annotation tool is suited for that.

Quick Start

git clone https://github.com/daisatojp/labelTrack.git
cd labelTrack
pip install PyQt6==6.6.1 PyQt6-Qt6==6.6.3
python labelTrack.py

• Click Open Label File in toolbar to select label file to be saved.
• Click Open Image Dir in toolbar to open a folder containing a sequence of images.
• Click Create Object in toolbar and make box by a mouse dragging in each image.
• Click Save in toolbar to save label file.

Label Format

<x coord of top-left>,<y coord of top-left>,<width>,<height>
<x coord of top-left>,<y coord of top-left>,<width>,<height>
<x coord of top-left>,<y coord of top-left>,<width>,<height>
...
...
...

More concretely, see sample/label.txt.

Useful Shortcuts

Key	Action
d	open next image
a	open previous image
w	create bounding box
c	remove bounding box
r	copy bounding box from previous image
t	open next image and copy bounding box from previous image
v	open next image and remove bounding box

Acknowledgment

• labelimg as a reference.