GarmentIQ: Automated Garment Measurement for Fashion Retail | Dashboard

Last update of this page: 06/26/2025


Progress & Tentative Schedule

Status: - completed, - in progress, - scheduled.

  • Classification

    • Data scraping (click to see detail)
    • Data exploration
    • Train base models
    • Model fine tune and compare
    • Orgnaize code following the Python library standard
    • Connect to next steps - segmentation and measurement instruction
  • Segmentation

    • Find and apply pre-trained model
    • Orgnaize code following the Python library standard
    • Connect to next step - landmark extraction
  • Measurement instruction

    • Read measurement instruction
    • Transfer instruction to machine readable format
    • Connect to next step - landmark extraction
  • Landmark extraction

    • Find and apply pre-trained model
    • Model fine tune and adjustment
    • Orgnaize code following the Python library standard
  • Web interface demo

    • Application - tailor (the whole pipeline)
    • Garment measurement instruction generation
    • Garment image classification
    • Garment image segmentation
    • Garment landmark detection
    • Garment landmark adjustment
  • Documentation

    • MagicBox
    • Python API

Authors

Here are the members of our group and their institutions with contact information (alphabetical order by last name):

  1. Name: Fangzhou Ma

  2. Current Institution: Swiss Federal Institute of Technology Zurich

    School email:

    Personal email:

  3. Name: Li Yuan

  4. Current Institution: Swiss Federal Institute of Technology Zurich

    School email:

    Personal email:

  5. Name: Xinrui Zhai

  6. Current Institution: Swiss Federal Institute of Technology Zurich

    School email:

    Personal email:


Challenge Giver & Coach

  1. Challenge Giver: Adrián González Sieira

  2. Organization: Inditex Tech

    Email:

  3. Challenge Giver: Laura Rodríguez

  4. Organization: Inditex Tech

    Email:

  5. Coach: Elliott Ash

  6. Organization: Swiss Federal Institute of Technology Zurich

    Email:


Data Science Lab Materials

Project Introduction Slides: Open in a new window

Best Practice Slides: Open in a new window

🔒 Google Drive: Open in a new window


Report

Open in a new window

Poster

Open in a new window


GitHub Repository

https://github.com/lygitdata/GarmentIQ/