AI-Driven Garment Pattern Generation 02 - Data Cleaning & Formatting
Data Cleaning & Formatting for AI-Driven Garment Pattern Generation Project GitHub Repo: https://github.com/PINKDIAMONDVVS/ai_patternmaker_data 1. Introduction This section details the data cleaning and formatting process developed to transform raw garment pattern data into a machine learning (ML)–ready format. The raw dataset, provided by URBN, comprises over 10,000 garment patterns in CLO3D’s proprietary .ZPRJ format. The goal is to convert these files into formats—such as PNG, DXF, SVG, and JSON—that can be easily ingested by our ML models (ChatGPT-4 and Gemini) for subsequent training tasks. CLO3D UI displaying a ZPRJ file CLO3D Python Script API UI 2. Desired Data Format for AI Training The end goal of this project is to produce high-quality training data pairs specifically tailored for AI fine-tuning. Each training pair consists of two key components: Input: A JSON-structured garment description containing detailed attributes about the garment. This includes...
