Clothing attribute detection (with Modelia.AI)

Supervisors: Veronika Cheplygina (ITU), René Haas (Modelia.AI)

This project is motivated by a real-life practical problem of Veronika: finding dresses or skirts with pockets. While online stores typically have metadata on the products, like length or type of fabric, surprisingly few have important properties “pockets” in the item description. This is even worse for stores with pre-owned items. Since the retailers won’t do it, we can try to find an alternative solution! The capabilities are all there, but there is not yet a practical yet versatile tool.

The project could involve steps such as:

• Scraping brands / clothes retailers for a specific clothing category
• Annotating images with specific attributes like pockets
• Using (off-the-shelf or trained) detectors to identify matching products
• Finding out whether the product is available in a physical store near you
• Analyzing pocket-friendliness of different brands over time

The project is co-advised by Modelia.AI, a company focusing on AI for various fashion-related tasks. Signing up for the project will require an interview with their product team before agreement.

About Modelia Modelia is an award-winning AI startup on a mission to revolutionize the fashion industry. Modelia’s AI engine turns a single garment photo (flatlay, mannequin shot, or an existing model image) into studio-quality on-model visuals and video, eliminating the need for a traditional photoshoot. Founded in 2024 by an ITU founder and built specifically for fashion, Modelia works with brands across 26 countries, including Desigual, AWWG, and Fútbol Emotion.

You can find more information about Modelia at modelia.ai