AI for the Second-Hand Fashion Industry

Explore how AI is revolutionizing the second-hand fashion industry through automated solutions for sustainable fashion.
Author

Farrukh Nauman

Keywords

AI, second-hand fashion, dataset, fashion, automation, sustainable fashion, machine learning, computer vision

Automating the Second-Hand Fashion Industry

The fashion industry contributes up to 10% of global greenhouse gas emissions. While the second-hand fashion sector offers a sustainable alternative, its operations remain largely manual. Our projects aim to drive this industry towards automation through a large annotated open dataset and AI models.

Recent Updates

Exploring the Second-Hand Fashion Dataset

Deep dive into a 30,000+ image dataset for second-hand clothing classification.

Future directions

Insights into data quality challenges, organizational hurdles, and future opportunities in AI for second-hand fashion, including specialized applications in recycling and local trend analysis.

Project Overview

The dataset for this project was created by a collaboration between Wargön Innovation AB, Myrorna AB and RISE Research Institutes of Sweden AB.

(2025-02-06: The following section images are placeholders at the moment and will direct to model pages soon. In the meantime, check our demo from more than a year ago: fashion-demo)

sorting
Automated sorting process through Attribute Recognition
damaged t-shirt
AI-powered damage detection in clothing

Dataset Statistics

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Contact

Feel free to reach out to me: