Case Study: Spare-It achieves 99% waste segmentation accuracy with Labellerr

How Spare-It Uses Labellerr to Revolutionize Waste Segmentation

Spare-It, a platform providing real-time waste intelligence, faced the significant challenge of accurately segmenting over 10,000 waste images into more than 100 categories. They required a 99% accuracy rate and needed the entire project completed within a stringent 24-hour window. To overcome this data volume and accuracy challenge, they partnered with the annotation platform Labellerr.

Labellerr provided an intuitive UI and automated data pipeline that streamlined the entire segmentation process. This solution enabled Spare-It to achieve the targeted 99% accuracy within the 24-hour deadline. The platform drastically reduced the required manual intervention time from five hours per week to just ten minutes, allowing Spare-It to focus more resources on its core sustainability efforts.

Spare-It