AI for Circular Fashion: Automating Textile Sorting
RISE created a dataset of 30,000 annotated clothing items for AI models that enhance damage detection and valuation in second-hand textiles, supporting the EU Waste Directive 2025 goals.
The textile industry contributes up to 10% of global greenhouse gas emissions. Our project automates the second-hand textile industry by creating a dataset of 30,000 annotated clothing items for AI models.
Capabilities
This enhances:
- Damage detection
- Valuation accuracy
- Consumer trust
- Market participation
User-Friendly Implementation
Our user-friendly AI aids volunteer-operated sorting facilities, making advanced technology accessible to organizations without deep technical expertise.
Regulatory Alignment
The project supports the EU Waste Directive 2025’s goals for sustainable, recyclable textiles, promoting a circular economy and reducing waste.
Impact
By enabling more efficient sorting and valuation of second-hand textiles, the project helps extend the useful life of clothing items and reduces the environmental impact of the fashion industry.
