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
2025-02-06
Deep dive into a 30,000+ image dataset for second-hand clothing classification.
2025-01-30
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)
Automated sorting process through Attribute Recognition
AI-powered damage detection in clothing
Dataset Statistics
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