Architectural Floor Plan Segmentation (Skill Development Project)

Project description.

• This is a skill-building project focused on mastering pixel-perfect semantic segmentation.

• The objective was to achieve high-precision results for potential machine learning applications.

• I developed a workflow involving:

• Annotation: Using LabelMe to create precise polygons.

• Automation: Writing and testing Python scripts to fix polygon overlapping and pixel gaps in the JSON datasets.

• Quality Control: Achieving a 99.6% IoU score through rigorous audit processes.