Convert-Segmentation-Mask-1.1-To-Yolov8

This Python program converts task datasets exported as Segmentation mask 1.1 from CVAT to YOLOv8 Instance Segmentation format.

Features

• Handles multiple classes in a single image.
• Saves labels in a labels folder.

Usage

1. Run the SegmentationMaskToYolov8.py script.
2. When prompted, enter the path of the labelmap.txt file, SegmentationClass folder, and SegmentationObject folder.
3. Labels will be saved as text files and stored in a labels folder.

Example Usage

Labelmap.txt

# label:color_rgb:parts:actions
background:0,0,0::
dog:250,50,83::
horse:255,204,51::
human:42,125,209::

Example Image 1:

Photo by Pixabay from Pexels.

Resulting Images:

SegmentationClass	SegmentationObject

Output:

Label Output
pexels-pixabay-162520.txt

Example Image 2:

Photo by Yaroslav Shuraev from Pexels.

Resulting Images:

SegmentationClass	SegmentationObject

Output:

Label Output
pexels-yaroslav-shuraev-8499242.txt

Development Environment

• IDE: Microsoft Visual Studio Community 2022
• Language: Python 3.9